The Sr. NLP Text Mining Scientist / Engineer will have the opportunity to lead a team, shape team culture and operating norms as a result of the fast-paced nature of a new, high-growth organization.• 7+ years of Industry experience primarily related to Unstructured Text Data and NLP (PhD work and internships will be considered if they are related to unstructured text in lieu of industry experience but not more than 2 years will be accounted towards industry experience)• Develop Natural Language Medical/Healthcare documents comprehension related products to support Health business objectives, products and improve processing efficiency, reducing overall healthcare costs• Gather external data sets; build synthetic data and label data sets as per the needs for NLP/NLR/NLU • Apply expert software engineering skills to build Natural Language products to improve automation and improve user experiences leveraging unstructured data storage, Entity Recognition, POS Tagging, ontologies, taxonomies, data mining, information retrieval techniques, machine learning approach, distributed and cloud computing platforms• Own the Natural Language and Text Mining products — from platforms to systems for model training, versioning, deploying, storage and testing models with creating real time feedback loops to fully automated services• Work closely and collaborate with Data Scientists, Machine Learning engineers, IT teams and Business stakeholders spread out across various locations in US and India to achieve business goals• Provide mentoring to other Data Scientist and Machine Learning Engineers• Strong understanding of mathematical concepts including but not limited to linear algebra, Advanced calculus, partial differential equations and statistics including Bayesian approaches• Strong programming experience including understanding of concepts in data structures, algorithms, compression techniques, high performance computing, distributed computing, and various computer architecture• Good understanding and experience with traditional data science approaches like sampling techniques, feature engineering, classification and regressions, SVM, trees, model evaluations• Additional course work, projects, research participation and/or publications in Natural Language processing, reasoning and understanding, information retrieval, text mining, search, computational linguistics, ontologies, semantics • Experience with developing and deploying products in production with experience in two or more of the following languages (Python, C++, Java, Scala)• Strong Unix/Linux background and experience with at least one of the following cloud vendors like AWS, Azure, and Google for 2+ years• Hands on experience with one or more of high-performance computing and distributed computing like Spark, Dask, Hadoop, CUDA distributed GPU (2+ years)• Thorough understanding of deep learning architectures and hands on experience with one or more frameworks like tensorflow, pytorch, keras (2+ years)• Hands on experience with libraries and tools like Spacy, NLTK, Stanford core NLP, Genism, johnsnowlabs for 5+ years• Understanding business use cases and be able to translate them to team with a vision on how to implement• Identify enhancements and build best practices that can help to improve the productivity of the team.
Job Description A top of the line, premium software advisory & development services firm. Our customers include promising early stage start ups, fortune 500 enterprises and investors. We draw inspiration from Leonardo Da Vinci's famous quote - Simplicity is the ultimate sophistication. Domains we work in Multiple; publishing, retail, banking, networking, social sector, education and many more. Tech we use Java, Scala, Golang, Elixir, Python, RoR, .Net, JS frameworks More details on tech You name it and we might be working on it. The important thing is not technology here but what kind of solutions we provide to our clients. We believe to solve some of the most complex problems, holistic thinking and solution design is of extreme importance. Technology is the most important tool to implement the solution thus designed. Skills & Requirements Who should join us We are looking for curious & inquisitive technology practitioners. Our customers see us one of the most premium advisory and development services firm, hence most of the problems we work on are complex and often hard to solve. You can expect to work in small (2-5) people teams, working very closely with the customers in iterative developing and evolving the solution. We are continually on the search for passionate, bright and energetic professionals to join our team. So, if you are someone who has strong fundamentals on technology and wants to stretch, beyond the regular role based boundaries, then Sahaj is the place for you. You will experience a world, where there are no roles or grades and you will play different roles and wear multiple hats, to deliver a software project. What would you do here * Work on complex, custom-designed, scalable, multi-tiered software development projects * Work closely with clients (commercial & social enterprises, start ups), both Business and Technical staff members * Be responsible for the quality of software and resolving any issues regards the solution * Think through hard problems, not limited to technology and work with a team to realise and implement solutions * Learn something new everyday Below are key skills expected * Development and delivery experience in any of the programming languages * Passion for software engineering and craftsman-like coding prowess * Great design and solutioning skills (OO & Functional) * Experience including analysis, design, coding and implementation of large scale custom built object-oriented applications * Understanding of code refactoring and optimisation issues * Understanding of Virtualisation & DevOps. Experience with Ansible, Chef, Docker preferable * Ability to learn new technologies and adapt to different situations * Ability to handle ambiguity on a day to day basis
High Level Scope of Work : Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process. Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model Gather additional and external data sources to support the AI/ML Model as desired . Support the ML Model and FINE TUNEit to ensure high accuracy all the time. Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions) Required technology expertise : Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models) Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages Strong Database Development knowledge using SQL and PL/SQL Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus) Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload. Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI) Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry Have at least 5+ Years EXP in Retail Industry and Customer Focus Business. Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly. Qualifications Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science Certified as DATA SCIENTIST or MACHINE LEARNING Expert.
At ThinkBumbleBee Analytics, we derive insights that allow our clients make a scientific decisions. We believe in demanding more from the fields of Mathematics, Computer Science and Business Logic. Combine these and we show our clients a 360-degree view of their business.The Person Articulate High Energy Passion to learn High sense of ownership Ability to work in a fast-paced and deadline driven environment Loves technology Highly skilled at Data Interpretation Problem solver Ability to narrate story to the business stakeholders Generate insights and the ability to turn them into actions and decisions Skills to work in a challenging, complex project environment Need you to be naturally curious and have a passion for understanding consumer behavior A high level of motivation, passion and high sense of ownership Excellent communication skills needed to manage an incredibly diverse slate of work, clients, and team personalities Flexibility to work on multiple projects and deadline-driven fast-paced environment Ability to work in ambiguity and manage chaos Technical Skills Solid understanding and experience in statistical methods and programming Experience in both supervised (Random Forest, AB Tests, Linear Regression, Classification) and unsupervised learning (clustering, PCA, LDA) Experience in any Cloud Platform (AWS/GCP/Azure) High level of proficiency in the following: A. SQL Databases: Adapt SQL to query other relational databases Understanding ER Diagram Write Production Level Code (Unit Testing, Modularity, etc) Write efficient SQL queries B. Knowledge and Hand-on experience in these: Build Python (Pandas) code using variables, relational operators, logical operators, loops, and functions OOPS Multi Processing Libraries DASK Visualisation - Seaborn, Matplot lIb C. Implementation of statistics using Python: Descriptive statistics using Python code - calculating mean,median, mode, standard deviation, and percentiles; and identifying outliers Use Python code to test hypothesis, calculate correlations and to predict a continuous variable using regression Sampling Procedures Inferential Statistics Parametric and Non Parametric Tests Non Linear Regression Validate regression assumptions Role includes : 1. Gather, process, analyse and extract conclusions out of complex, high-volume, high dimensional data coming from varying sources2. Generating insights and recommendations for clients3. Tweaking existing models basis the changes in requirement, data source, data type, etc4. Code fixes that are critical & needs to be resolved within the given SLA5. Writing APIs6. Interact proactively with colleagues and counterparts7. Take full ownership of the product at its various development and deployment stages. Qualifications:- BE/BTech in Computer Science/Statistics Should have a minimum 3 years’ experience in Data Science Immediate joiners only to apply
We are looking for multiple Data Analyst Interns to be part of our Delivery Team. The candidate will work on data preparation, configuration and execution of Clootrack's deep learning platforms - Sun Tiger & Beagle. The candidate needs to take an active role in interacting with the core engineering team, and business teams to bench mark platform outputs to improve value to customers.To apply, please fill out the details here- https://docs.google.com/forms/d/16yehtN7oJ4i4X8ytrArK5nMl5nuRG7P9k9RgpMT9aA0/edit If the performance is satisfactory, the candidates will be offered a permanent role with the team within 6 months or earlier. Responsibilities Configure and run our proprietary AI & Deep Learning platforms Understand business requirements and map to deliverables Collaborate with core engineering team and business teams Data preparation Data labelling Insight extraction & benchmarking Handle client communication to evaluate requirements, plan and act as client touch point for projects Skills And Qualifications Yrs of experience: 0+ yrs Very good problem solving capabilities and aptitude Very good team player, with drive to work with complete ownership Fire to drive results Passion to understand data and derive insights Very good communication and presentation skills Good to have: Knowledge on SQL, Google Data Prep, Python Scripting Please do not apply if you are undergoing any under graduation, graduation or post graduation courses and are yet to complete Duration of Internship: The applicant should be available for a minimum of 6 months for internship. Placement offers will be provided based on performance.To apply, please fill out the details here- https://docs.google.com/forms/d/16yehtN7oJ4i4X8ytrArK5nMl5nuRG7P9k9RgpMT9aA0/edit
We are building a new age personalized mobile-first, AI-based digital bank. We are a fast-paced tech startup that relentlessly innovates each day to make banking more accessible and transparent for our users.To help us grow, we are looking at awesome team-players to join us and contribute towards building a community first digital bank.Join us if you wish to build the bank of the future! Responsibilities Participate, Own & Influence in architecting & designing of systems Collaborate with other engineers, data scientists, product managers Build intelligent systems that drive decisions Build systems that enable us to perform experiments and iterate quickly Build platforms that enable scientists to train, deploy and monitor models at scale Build analytical systems that drives better decision making Required Skills Engineer with strong computer science fundamentals Excellent problem solving skills Strong programming Skills with strong focus on re-usability and low operational overhead Excellent judgement on architecture and design Strong work ethics like sense of collaboration and ownership, result orientation, being a team player Ability to excel in a fast-paced, startup-like environment. 3 to 7 year experienced in building systems with high quality BTech/MTech in Computer Science or equivalent fields, with strong programming skills in Java/Scala/Python
About the Role We’re looking for a growth manager, to drive our customer acquisition initiatives. As part of the SoStronk team, you will join a team of top-notch engineers, designers and product managers to bring growth strategies to life. Working with the leadership team, you will bring our growth strategy to life, conceiving, managing, analyzing and optimizing our campaigns to drive customer growth in line with our strategic and financial goals. We are looking for candidates who thrive on data and research, and has the ability to convert the same into insights that provide actionable direction for our entrepreneurial goals. What you will do Growth Driver: You will take charge of set growth goals for the company and see them through the planning, budgeting, execution, evaluation and corrective action. These will include long term customer acquisition as well as retention plans. You will track periodic(daily/weekly/monthly) targets for growth plans and work with the leadership team to optimize marketing plans continually. Performance Marketer: You will own the SEO strategy and performance, working with individual teams to resolve any issues in execution. Research Drive: Through primary and secondary research, you will keep identifying new and existing opportunities to enable growth in our primary and secondary customer segments, and develop action plans for the same. Experimenter: You will create experimentation roadmaps and execute rigorous A/B tests to improve campaign effectiveness Stakeholder Communication: You will interact with our board of directors and communicate across our growth strategy on a monthly basis. Creative Execution: Think strategically, analytically, and creatively about new and more efficient ways to reach customers and increase relevance for our product What we’re looking for? Should have at least 4-5 years of growth marketing experience You should live and breathe data and should have an analytical mind Should have a keen eye on budgets and maximizing marketing ROI Experience developing local and hyperlocal marketing strategies for large scale digital executions Channel-agnostic when it comes to approaching customer acquisition A naturally inquisitive, deliberate, and inclusive team player Experience working with SQL and comfortable extracting insights from complex datasets A team player, with a get-things-done attitude Nice to have Passionate about gaming and esports B2C Growth experience About SoStronk SoStronk is a tight-knit team of gamers, storytellers, engineers, designers and trailblazers who are disrupting gaming and esports at scale. We have been a disruptive player in the esports platform space for over 5 years and are now positioned for meteoric growth with the backing of DreamSports.
Kwalee is a leading independent mobile game developer and publisher based in Leamington Spa – the UK’s biggest gaming hub outside Greater London and a great place to live – along with growing teams in Bangalore and Beijing. Now the largest hypercasual games publisher in the UK, Kwalee is a company known globally thanks to half a billion downloads for hit mobile games including Draw it, Bake it, Shootout 3D, Rocket Sky and many more. These successes have driven rapid growth in recent years and with exciting new projects in the works for Nintendo Switch and PC alongside the studio's hypercasual specialism, Kwalee shows no signs of slowing down! Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of mobile gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays. Could your idea be the next global hit? As a Data Scientist you will help utilise masses of data generated by Kwalee players all over the world to solve complex problems using cutting edge techniques. You'll be part of a team that will be based in the new office that we're going to open in Bangalore. What you tell your friends you do "My models optimise the performance of Kwalee games and advertising every day!” What you will really be doing Build data solutions to solve business problems Use statistical testing and predictive modelling to recommend and implement changes to marketing strategy along with in game features and design Leverage the huge amount of data generated by our players and advertising campaigns everyday to build models and iterate existing services to improve and automate decision making across the company Work with the marketing, publishing and development teams to understand the problems they are facing and how to solve them How you will be doing this You’ll be part of an agile, multidisciplinary and creative team and work closely with them to coordinate efforts and get the best results. You’ll think creatively and will be motivated by challenges and constantly striving for the best. You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you can get it. We even have a robot! Team Our talented team is our signature. We have a highly creative atmosphere with around 100 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games. Skills and requirements A degree in a numerically focussed degree discipline such as, Maths, Physics, Economics, Chemistry, Engineering, Biological Sciences 2+Years experience using Python for data analysis and visualisation and using libraries such as Tensorflow, Keras and Scikit-Learn A proven track record of solving problems with data Knowledge of NoSQL or SQL databases like Couchbase, Elasticsearch and PostgreSQL An avid interest in the development, marketing and monetisation of mobile games Desirable Experience with AWS - Redshift, EC2, Lambda Experience managing data projects from prototype to production tools We offer We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment In addition to a competitive salary we also offer private medical cover and life assurance Creative Wednesdays! (Complete freedom to design and make your own games every Wednesday) 20 days of paid holidays plus bank holidays Great work-life balance with flexible working hours Quarterly team building days - work hard, play hard! Monthly employee awards Free snacks, fruit and drinks Our philosophy We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.
Kwalee is a leading independent mobile game developer and publisher based in Leamington Spa – the UK’s biggest gaming hub outside Greater London and a great place to live – along with growing teams in Bangalore and Beijing. Now the largest hypercasual games publisher in the UK, Kwalee is a company known globally thanks to half a billion downloads for hit mobile games including Draw it, Bake it, Shootout 3D, Rocket Sky and many more. These successes have driven rapid growth in recent years and with exciting new projects in the works for Nintendo Switch and PC alongside the studio's hypercasual specialism, Kwalee shows no signs of slowing down! Founded in 2011 by David Darling CBE, a key architect of the UK games industry who previously co-founded and led Codemasters for many years, our team also includes legends such as Andrew Graham (creator of Micro Machines series) and Jason Falcus (programmer of classics including NBA Jam) alongside a growing and diverse team of mobile gaming experts. Everyone contributes creatively to Kwalee’s success, with all employees eligible to pitch their own game ideas on Creative Wednesdays. Could your idea be the next global hit? As a Senior Data Scientist you will help utilise masses of data generated by Kwalee players all over the world to solve complex problems using cutting edge techniques. You'll be part of a team that will be based in the new office that we're going to open in Bangalore. What you tell your friends you do "My models optimise the performance of Kwalee games and advertising every day!” What you will really be doing Build data solutions to solve business problems Use statistical testing and predictive modelling to recommend and implement changes to marketing strategy along with in game features and design Leverage the huge amount of data generated by our players and advertising campaigns everyday to build models and iterate existing services to improve and automate decision making across the company Work with the marketing, publishing and development teams to understand the problems they are facing and how to solve them How you will be doing this You’ll be part of an agile, multidisciplinary and creative team and work closely with them to coordinate efforts and get the best results. You’ll think creatively and will be motivated by challenges and constantly striving for the best. You’ll work with cutting edge technology, if you need software or hardware to get the job done efficiently, you can get it. We even have a robot! Team Our talented team is our signature. We have a highly creative atmosphere with around 100 staff where you’ll have the opportunity to contribute daily to important decisions. You’ll work within an extremely experienced, passionate and diverse team, including David Darling and the creator of the Micro Machines video games. Skills and requirements A degree in a numerically focussed degree discipline such as, Maths, Physics, Economics, Chemistry, Engineering, Biological Sciences 5+Years experience using Python for data analysis and visualisation and using libraries such as Tensorflow, Keras and Scikit-Learn A proven track record of solving problems with data Knowledge of NoSQL or SQL databases like Couchbase, Elasticsearch and PostgreSQL An avid interest in the development, marketing and monetisation of mobile games Desirable Experience with AWS - Redshift, EC2, Lambda Experience managing data projects from prototype to production tools We offer We want everyone involved in our games to share our success, that’s why we have a generous team profit sharing scheme from day 1 of employment In addition to a competitive salary we also offer private medical cover and life assurance Creative Wednesdays! (Complete freedom to design and make your own games every Wednesday) 20 days of paid holidays plus bank holidays Great work-life balance with flexible working hours Quarterly team building days - work hard, play hard! Monthly employee awards Free snacks, fruit and drinks Our philosophy We firmly believe in creativity and innovation and that a fundamental requirement for a successful and happy company is having the right mix of individuals. With the right people in the right environment anything and everything is possible.
Want to shape the future of Energy through Data Science? We have the data and if you have got the skills to unlock the patterns behind how a little change in one input parameter can have so much impact on the optimized Energy output parameters, like energy price. The Energy Exemplar (EE) data team is looking for an experienced Applied ML Data Scientist to join our Pune office. The data team is committed to helping EE customers keep a check on how heat rate, capacity expansion and daily unit commitment are subject to variations in demand, renewables, gas price, etc. There are lots of such use cases. By continuously gathering and analysing data, and by working with organizations inside and outside EE, the data team stays agile to combat evolving challenges. Our mission is to help advice customers and systems with industry-leading proactive optimal predictions, and engage in valuable partnerships. As a dedicated Data Scientist on our Research team, you will apply data science and your machine learning expertise to enhance our intelligent systems to predict and provide proactive advice. You’ll work with the team to identify and build features, create experiments, vet ML models, and ship successful models that provide value additions for hundreds of EE customers. At EE, you’ll have access to vast amounts of energy-related data from our sources. Our data pipelines are curated and supported by engineering teams (so you won't have to do much data engineering - you get to do the fun stuff.) We also offer many company-sponsored classes and conferences that focus on data science and ML. There’s great growth opportunity for data science at EE. Responsibilities Monitor and analyse data to uncover optimization gaps Develop high-performance algorithms, machine learning models, or other methodologies to close optimization gaps. Identify performant features and models and make them universally accessible to our teams across EE. Provide technical leadership to our team by reviewing problem sets, proposing prediction models, and reviewing experiments and models. Act as a resident expert for machine learning, statistics, and experiment design. Qualifications 5+ years of professional experience in experiment design and applied machine learning predicting outcomes in large-scale, complex datasets. Proficiency in Python, Azure ML, or other statistics/ML tools. Proficiency in Deep Neural Network, Python based frameworks. Proficiency in Azure DataBricks, Hive, Spark. Proficiency in deploying models into production (Azure stack). Moderate coding skills. SQL or similar required. C# or other languages strongly preferred. Outstanding communication and collaboration skills. You can learn from and teach others. Strong drive for results. You have a proven record of shepherding experiments to create successful shipping products/services. Experience with prediction in adversarial (energy) environments highly desirable. Understanding of the model development ecosystem across platforms, including development, distribution, and best practices, highly desirable. A Masters or Ph.D degree with coursework in Statistics, Data Science, Experimentation Design, and Machine Learning highly desirable
Adept at Machine learning techniques and algorithms. Feature selection, dimensionality reduction, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Doing ad-hoc analysis and presenting results Proficiency in using query languages such as N1QL, SQL Experience with data visualization tools, such as D3.js, GGplot, Plotly, PyPlot, etc. Creating automated anomaly detection systems and constant tracking of its performance Strong in Python is a must. Strong in Data Analysis and mining is a must Deep Learning, Neural Network, CNN, Image Processing (Must) Building analytic systems - data collection, cleansing and integration Experience with NoSQL databases, such as Couchbase, MongoDB, Cassandra, HBase
We are looking for a data scientist to join us. Your role will be to run analysis and build statistical models to help find patterns among the data.You must be comfortable with either R, Python, or Julia to run analysis on the data sets. You must be capable of delivering results independently and be able to take ownership of models built by you
We at CarDekho create technology products used daily by millions of people. We’re seeking an experienced Data scientist to deliver that insight to us on a daily basis. Our ideal team member will have the mathematical and statistical expertise - As you mine, interpret, and clean our data, we will rely on you to ask questions, connect the dots, and uncover opportunities that lie hidden within - all with the ultimate goal of realizing the data’s full potential. Responsibilities:- 3+ years of industrial experience in predictive modeling and analysis, predictive software development. Experience in mentoring junior team members, and guiding them on machine learning and data modeling applications. Strong communication and data presentation skills. Experience implementing ML algorithms such as Logistic Regression, Naive Bayes, Bayesian Network, Decision Tree, Neural Network, SVM, Random Forest, convex optimization, transfer learning. Hands-on experience on a minimum of 2 projects that involves either ML or Deep Learning(Theano OR Keras OR Tensorflow). Excellent organizational and analytical skills. Exposure to REST concepts. Expert knowledge developing and debugging in Node.js or Python. Contribute to the production solutions development, testing, and deployment Requirement:- BTech/MTech/Ph.D. in Computer Science or degree in statistics, applied mathematics, from Tier 1 Institutes 4+ years experience in data science Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience
Job description Position: Data Scientist Location: Bangalore Long Term Contract position Remote Till Covid Experience in applied data science, analytics, data storytelling. Write well documented code that can be shared and used across teams, and can scale to be used in existing products. SQL, Advanced Python or R (descriptive / predictive models), Tableau Visualization. Working knowledge of Hadoop, BigQuery, Presto, Vertica Apply your expertise in quantitative analysis, data mining, and the presentation of data to uncover unique actionable insights about customer service, health of public conversation and social media Inform, influence, support, and execute analysis that feeds into one of our many analytics domains - Customer analytics, product analytics, business operation analytics, cost analytics, media analytics, people analytics Select and deselect analytics priorities, insights and data based on ability to drive our desired outcomes Own the end to end process, from initiation to deployment, and through ongoing communication and collaboration, sharing of results to partners and leadership Mentor and create sense of community and learning environments for our global team of data analysts Soft skills: Ability to communicate findings clearly to both technical and non-technical audiences and to effectively collaborate within cross-functional teams Working knowledge of agile framework and processes. You should be comfortable managing work plans, timelines and milestones You have a sense of urgency, move quickly and ship things Bonus Points: You're experienced in metrics and experiment-driven development Experience in statistical methodology (multivariate, time-series, experimental design, data mining, etc.) Company Info Website: https://www.bygrad.in
We are a nascent quantitative hedge fund led by an MIT PhD and Math Olympiad medallist, offering opportunities to grow with us as we build out the team. Our fund has world class investors and big data experts as part of the GP, top-notch ML experts as advisers to the fund, plus has equity funding to grow the team, license data and scale the data processing. We are interested in researching and taking in live a variety of quantitative strategies based on historic and live market data, alternative datasets, social media data (both audio and video) and stock fundamental data. You would join, and, if qualified, lead a growing team of data scientists and researchers, and be responsible for a complete lifecycle of quantitative strategy implementation and trading. Requirements: Atleast 3 years of relevant ML experience Graduation date : 2018 and earlier 3-5 years of experience in high level Python programming. Master Degree (or Phd) in quantitative disciplines such as Statistics, Mathematics, Physics, Computer Science in top universities. Good knowledge of applied and theoretical statistics, linear algebra and machine learning techniques. Ability to leverage financial and statistical insights to research, explore and harness a large collection of quantitative strategies and financial datasets in order to build strong predictive models. Should take ownership for the research, design, development and implementation of the strategy development and effectively communicate with other team mates Prior experience and good knowledge of lifecycle and pitfalls of algorithmic strategy development and modelling. Good practical knowledge in understanding financial statements, value investing, portfolio and risk management techniques. A proven ability to lead and drive innovation to solve challenges and road blocks in project completion. A valid Github profile with some activity in it Bonus to have: Experience in storing and retrieving data from large and complex time series databases Very good practical knowledge on time-series modelling and forecasting (ARIMA, ARCH and Stochastic modelling) Prior experience in optimizing and back testing quantitative strategies, doing return and risk attribution, feature/factor evaluation. Knowledge of AWS/Cloud ecosystem is an added plus (EC2s, Lambda, EKS, Sagemaker etc.) Knowledge of REST APIs and data extracting and cleaning techniques Good to have experience in Pyspark or any other big data programming/parallel computing Familiarity with derivatives, knowledge in multiple asset classes along with Equities. Any progress towards CFA or FRM is a bonus Average tenure of atleast 1.5 years in a company
4+ year experience in advanced analytics, model building, statistical modeling,• Solid technical / data-mining skills and ability to work with large volumes of data; extract and manipulate large datasets using common tools such as Python and SQL other programming/scripting languages to translate data into business decisions/results• Be data-driven and outcome-focused• Must have good business judgment with demonstrated ability to think creatively and strategically• Must be an intuitive, organized analytical thinker, with the ability to perform detailed analysis• Takes personal ownership; Self-starter; Ability to drive projects with minimal guidance and focus on high impact work• Learns continuously; Seeks out knowledge, ideas and feedback.• Looks for opportunities to build owns skills, knowledge and expertise.• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE)• Experience in risk and credit score domains preferred• Comfortable with ambiguity and frequent context-switching in a fast-paced environment
You excel at software engineering and programming in Python and SQL for production systems. You have a diverse range of data skills including experimentation, statistics, and machine learning, andhave used these skills to inform business decisions. You have a keen eye for detail and a healthy skepticism for data before relying upon it. You are highly entrepreneurial. You teach yourself new skills. You take the initiative to solve problemsbefore they arise. You know that startups are a team sport. You listen to others, speak your mind, and ask the rightquestions. You are a great collaborator and teacher. You are driven by making an impact on customers’ lives.
3+ years experience in practical implementation and deployment of ML based systems preferred. BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation Experience in working on modeling graph structures related to spatiotemporal systems Programming skills in Python Experience in developing and deploying on cloud (AWS or Google or Azure) Good verbal and written communication skills Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary. Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers) Strong problem solving skills and the ability to articulate really well. Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production. Strong working knowledge of python ML stack is very important here. Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work. Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code. Structured ML techniques for candidates: GBM XgBoost Random Forest Neural Net Logistic Regression
Introduction The Biostrap platform extracts many metrics related to health, sleep, and activity. Many algorithms are designed through research and often based on scientific literature, and in some cases they are augmented with or entirely designed using machine learning techniques. Biostrap is seeking a Data Scientist to design, develop, and implement algorithms to improve existing metrics and measure new ones. Job Description As a Data Scientist at Biostrap, you will take on projects to improve or develop algorithms to measure health metrics, including: Research: search literature for starting points of the algorithm Design: decide on the general idea of the algorithm, in particular whether to use machine learning, mathematical techniques, or something else. Implement: program the algorithm in Python, and help deploy it. The algorithms and their implementation will have to be accurate, efficient, and well-documented. Requirements A Master’s degree in a computational field, with a strong mathematical background. Strong knowledge of, and experience with, different machine learning techniques, including their theoretical background. Strong experience with Python Experience with Keras/TensorFlow, and preferably also with RNNs Experience with AWS or similar services for data pipelining and machine learning. Ability and drive to work independently on an open problem. Fluency in English.
Research and develop statistical learning models for data analysis Collaborate with product management and engineering departments to understand company needs and devise possible solutions Keep up-to-date with latest technology trends Communicate results and ideas to key decision makers Implement new statistical or other mathematical methodologies as needed for specific models or analysis Optimize joint development efforts through appropriate database use and project design Qualifications/Requirements: Masters or PhD in Computer Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background Excellent understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, neural network etc 3+ years experiences building data science-driven solutions including data collection, feature selection, model training, post-deployment validation Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow Good team worker with excellent communication skills written, verbal and presentation Desired Experience: Experience with AWS, S3, Flink, Spark, Kafka, Elastic Search Knowledge and experience with NLP technology Previous work in a start-up environment
Hypersonix.ai - Data ScientistAs a Data Scientist with Hypersonix (https://hypersonix.ai/), you will play a key role in translating data into insights for our clients. You will design, develop and implement processes and framework into our AI- Platform, that will help our clients make sense of the data they generate, and consume the insights to make informed decisions. Role – Analytics Job Responsibilities Solve business problems & develop a business solution: Use problem-solving methodologies to propose creative solutions to solve a business problem. Recommend design and develop state-of-the-art data-driven analysis using statistical & advanced analytics methodologies to solve business problems. Develop models & recommend insights. Form hypothesis and run experiments to gain empirical insights and validate the hypothesis. Identify and eliminate possible obstacles and identify an alternative creative solution. Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients Identify opportunities and partner with key stakeholders to set priorities, manage expectations, facilitate change required to activate insights, and measure the impact Deconstruct problems and goals to form a clear picture for hypothesis generation and use best practices around decision science approaches and technology to solve business challenges; Integrate custom analytical solutions (e.g., predictive modeling, segmentation, issue tree frameworks) to support data-driven decision-making; Translate and communicate results, recommendations, and opportunities to improve data solutions to internal and external leadership with easily consumable reports and presentations. Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, strategic revenue management, marketing effectiveness Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Good thought leadership & ability to structure & solve business problems, innovating, where required Must have the ability to adapt to changing business priorities in a fast-paced business environment Technical Expertise Should have the ability to handle structured /unstructured data and have prior experience in loading, validating, and cleaning various types of data Should have a very good understanding of data structures and algorithms Experience leading and working independently on end-to-end projects in a fast-paced environment is strongly preferred Advanced knowledge of SQL/redshift with proficiency with Python/R Sound knowledge of advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients
Come work with a growing consumer market research team that is currently serving one of the biggest FMCG companies in the world. Our client works with global brands and creates projects that are user-centric. They build cost-effective and compelling product stories that help their clients gain a competitive edge and growth in their brand image. Their team of experts consists of academicians, designers, startup specialists and experts are working for clients across 12 countries targeting new markets and solutions with an excellent understanding of end-users. They work with global brands from FMCG, Beauty and Hospitality sectors, namely Unilever, Lipton, Lakme, Loreal, AXE etc. who have chosen them for a long-term relationship, depending on their insights, consumer research, storytelling and contetnt experience. The founder is a design and product activation expert with over 10 years of impact and over 300 completed projects in India, UK, South Asia and USA. As a Data Scientist, you will help to deliver quantitative consumer primary market research through Survey. What you will do: Handling Survey Scripting Process through the use of survey software platform such as Toluna, QuestionPro, Decipher. Mining large & complex data sets using SQL, Hadoop, NoSQL or Spark. Delivering complex consumer data analysis through the use of software like R, Python, Excel and etc such as Working on Basic Statistical Analysis such as:T-Test &Correlation Performing more complex data analysis processes through Machine Learning technique such as: Classification Regression Clustering Text Analysis Neural Networking Creating an Interactive Dashboard Creation through the use of software like Tableau or any other software you are able to use. Working on Statistical and mathematical modelling, application of ML and AI algorithms What you need to have: Bachelor or Master's degree in highly quantitative field (CS, machine learning, mathematics, statistics, economics) or equivalent experience. An opportunity for one, who is eager of proving his or her data analytical skills with one of the Biggest FMCG market player.
Role: Lead / Sr Cloud Data Engineer Location: Hyderabad Experience 5-10 Years Technovert is not your typical IT services firm. We have to credit two of our successful products generating $2M+ in licensing/SaaS revenues which is rare in the industry. We are Obsessed with our love for technology and the infinite possibilities it can create for making this world a better place. Our clients find us at our best when we are challenged with their toughest of the problems and we love chasing the problems. It thrills us and motivates us to deliver more. Our global delivery model has earned the trust and reputation of being a partner of choice. We have a strong heritage built on great people who put customers first and deliver exceptional results with no surprises - every time. We partner with you to understand the interconnection of user experience, business goals, and information technology. It's the optimal fusing of these three drivers that delivers Traits / Skills: Strong experience on any Azure (ADF, ADL, Databricks) or AWS Excellent in data ingestion (Batch and real time processing) Good understanding of Streaming – PySpark Expert and persuasive communication skills (verbal and written) Expert in presentation and skilled at managing multiple clients Good at Python / Shell Scripting Experience with Snowflake is huge plus (++) Excellent mentoring skills with team player attitude Active on blogging, delivering webinars / tech talk, active participation in tech conference & meetups Qualification: 5-10 years of implementation experience with deep understanding in both traditional and modern data architecture and processing concepts, including relational databases (e.g., SQL Server, MySQL, Oracle), Data warehousing, big data (Hadoop, Spark, Storm), NoSQL, and business analytics. Min 2 years experienced with Azure or AWS Data Engineering - Azure SQL DB/DW, HD Insight, Azure Data Lake Storage, Azure Data Lake Analytics, Stream Analytics, Azure Data Factory, and Cosmos DB, AWS Glue, AWS Redshift, AWS Kinesis Experience of hybrid and/or cloud architectures that utilize Azure. Passionate Data & Analytics practitioner
Job Description We are looking for applicants who have a demonstrated research background in machine learning, a passion for independent research and technical problem-solving, and a proven ability to develop and implement ideas from research. The candidate will collaborate with researchers and engineers of multiple disciplines within Ideapoke, in particular with researchers in data collection and development teams to develop advanced data analytics solutions. Work with massive amounts of data collected from various sources.-4 to 5 years of academic or professional experience in Artificial Intelligence and Data Analytics, Machine Learning, Natural Language Processing/Text mining or related field.-Technical ability and hands on expertise in Python, R, XML parsing, Big Data, NoSQL and SQL
Evaluate and identify appropriate technology platforms (including web application frameworks and the deployment stack) for delivering the company’s Services. (MERN Stack) Communicate the company’s technology strategy to investors, management, staff, partners, customers, and stakeholders. Be the leader in technology trends and evolving social behavior that may support or impede the success of the business. Contribute to Open Source software development, standardization of technologies, and evolution of best practices by collaborating with peers outside the company, presenting at conferences, and writing for publication (online or offline).Minimum 5 Years Experience in an executive leadership role in a SaaSorganization. Experience leading teams in a variety of structures and environments ranging from start- up to large-scale enterprise corporations. Ability to articulate ideas to both technical and non-technical audiences. Ability to activelycommunicate, inspire and motivate all levels ofstaff. Leader – strong track record for building a strong engineering culture and world-classdevelopment teams.
Data science Freshers with a Product & IT service based company QualificationsB.Tech/M.Tech Percentage 70% and above2018 & 2019 passoutsAt least 3 POC Implementations should have donePremium Institutes passouts are more preferrable
Who we are? Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realize the “Next” in the “Now” for our Clients. We specialize in Cloud Data Engineering, AI/Machine Learning, and Advanced Cloud infra techs such as Anthos and Kubernetes. We are one of the top & the fastest growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud. What do we believe? Best practices are overrated Implementing best practices can only make one n ‘average’. Honesty and Transparency We believe in the naked truth. We do what we tell and tell what we do. Client Partnership Client - Vendor relationship: No. We partner with clients instead. And our sales team comprises 100% of our clients. How we work? It’s all about being Happier first. And rest follows. Searce work culture is defined by HAPPIER. Humble: Happy people don’t carry ego around. We listen to understand; not to respond. Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about. Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it. Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver. Innovative: Innovate or Die. We love to challenge the status quo. Experimental: We encourage curiosity & making mistakes. Responsible: Driven. Self-motivated. Self-governing teams. We own it. We welcome *really unconventional* creative thinkers who can work in an agile, flexible environment. We are a flat organization with unlimited growth opportunities, and small team sizes – wherein flexibility is a must, mistakes are encouraged, creativity is rewarded, and excitement is required. Introduction : As a Senior Data Scientist, the candidate will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges, from developing new models using pre-existing components to enable current systems to be more intelligent. You should be able to train models using existing data and use them in the most creative manner to deliver the smartest experience to customers. You will have to develop sophisticated enterprise/cloud technology applications that push the threshold of intelligence in machines. Working on multiple projects at a time, you maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You thrive in a fast, high-energy environment and are able to balance multiple projects in real-time. The thrill of the next big challenge drives you, and when faced with an obstacle, you find clever solutions. You must have the ability and interest to work on a range of different types of projects and business processes and must have a background that demonstrates this Ability. Your bucket of undertaking : ● Collaborate with team members to develop new models to be used for classification problems ● Responsible for software profiling, performance tuning and analysis, and other general software engineering tasks ● Use independent judgment to take existing data and build new models from it ● Collaborate and provide technical guidance ● Coming up with new ideas, rapid prototyping, and converting prototypes into scalable products ● Conducting experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences ● Improving existing models and creating self-learning systems. ● Stakeholder management and leadership ● Decision making and problem-solving Fit Assessment : A Searce team member is a highly motivated individual with a phenomenal amount of passion and energy for whatever he/she engages in; Who respects honesty, integrity, initiative, and creative approach to problem-solving; An inspiration to colleagues, he/she is a tenacious, and highly driven professional with a proven record of success and with a strong empathy for people - clients, partners, colleagues or vendors. Accomplishment Set : ● Extensive experience with Hadoop and Machine learning algorithms ● Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them ● Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence) ● Passion for solving NLP problems ● Experience with specialized tools and project for working with natural language Processing ● Programming experience in Python ● Knowledge of machine learning frameworks like Tensorflow, Pytorch ● Experience with software version control systems like Github ● Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills Education and Experience : ● B. E. / B. Tech / Masters in Computer Science ● Strong in academics and good aptitude ● Excellent communication skills with a flair to learn quickly ● 4-8 years of relevant experience ● Research and implement novel machine learning and statistical approaches ● Prior exposure to product development would be an added advantage
Job Description for Data Scientist/ NLP EngineerResponsibilities for Data Scientist/ NLP EngineerWork with customers to identify opportunities for leveraging their data to drive businesssolutions.• Develop custom data models and algorithms to apply to data sets.• Basic data cleaning and annotation for any incoming raw data.• Use predictive modeling to increase and optimize customer experiences, revenuegeneration, ad targeting and other business outcomes.• Develop company A/B testing framework and test model quality.• Deployment of ML model in production.Qualifications for Junior Data Scientist/ NLP Engineer• BS, MS in Computer Science, Engineering, or related discipline.• 3+ Years of experience in Data Science/Machine Learning.• Experience with programming language Python.• Familiar with at least one database query language, such as SQL• Knowledge of Text Classification & Clustering, Question Answering & Query Understanding,Search Indexing & Fuzzy Matching.• Excellent written and verbal communication skills for coordinating acrossteams.• Willing to learn and master new technologies and techniques.• Knowledge and experience in statistical and data mining techniques:GLM/Regression, Random Forest, Boosting, Trees, text mining, NLP, etc.• Experience with chatbots would be bonus but not required
Strong in problem solving, algorithms and data structures Proficient in Python Hands on experience in technologies and tools related to any of NLP, Deep learning, Machine learning, Conversational AI Experience with knowledge Graph or any graph based system is plus Able to train and deploy models Broad knowledge of machine learning algorithms and principles Performance profiling and Tuning Communicate and propose solutions to business challenges Familiarity with at least one of the cloud computing infrastructure - GCP/AWS Keep abreast with the latest technological advances Team mentoring and leadership skills.
Must-Have : 6+ years of experience in solving data science problems using machine learning, data mining algorithms, and big data tools. Strong experience with advanced SQL and good experience in big data ecosystem - Hive/Pig/MapReduce, Spark Experience in delivering at least one product with involvement in business problem identification, proposing solutions and evaluating them, identifying required data sources, building a data pipeline, visualizing the outputs, and taking actions based on the data outputs. Strong Experience with at least one programming language - e.g. Java, Python, R ( Exposure to multiple is a plus) Storing Experience in delivering data science projects leveraging cloud infrastructure. Experience with Agile framework. Experience in leading a data science team is a plus. Highly passionate about making an impact on business using data science. Believes in continuous learning and sharing knowledge with peers.
Skills Python coding skills Scikit-learn, pandas, tensorflow/keras experience Machine learning: designing ml models and explaining them for regression, classification, dimensionality reduction, anomaly detection etc Implementing Machine learning models and pushing it to production Creating docker images for ML models, REST API creation in Python 1) Data scientist with NLP experience Additional Skills Compulsory: Knowledge and professional experience of text and NLP related projects such as - text classification, text summarization, topic modeling etc 2) Data scientist with Computer vision for documents experience Additional Skills Compulsory: Knowledge and professional experience of vision and deep learning for documents - CNNs, Deep neural networks using tensorflow for Keras for object detection, OCR implementation, document extraction etc
Who are we? With millions of transactions each month, Animall is the world’s fastest-growing agritech company. We continue to re-imagine and re-engineer the dairy ecosystem in India. Are you interested in building the next-generation platform that handles petabytes of data and powers data insight creation using cutting edge data science? Excited about using Big Data, AI/Machine Learning, and Data Analytics to deliver actionable insights? If yes, Animall's the place for you! Who are we looking for? A strong background in distributed data processing & software engineering and can build high-quality, scalable data products. Industry experience working with distributed data technologies for building efficient, large-scale data pipelines. Experience with OLTP(such as MySQL, Postgres) and OLAP database systems. Experience with Cloud Computing platforms like Google Cloud, Amazon AWS. Experience building distributed, high-volume data services. Experience in Docker and Large Scale Data-Intensive Systems. Why Animall? A fast-paced environment to learn and grow. You’ll get opportunities to represent the company in events like Devoxx, Google Developer Days India, etc. Very high autonomy; freedom to take risks, to experiment, and to fail. An opportunity to work on something that really matters. Check out the reviews for our app. Very high transparency. Fair market salary.
Responsibilities:· Partners with business stakeholders to translate business objectives into clearly defined analytical projects.· Identify opportunities for text analytics and NLP to enhance the core product platform, select the best machine learning techniques to the specific business problem and then build the models that solve the problem.· Own the end-end process, from recognizing the problem to implementing the solution.· Define the variables and their inter-relationships and extract the data from our data repositories, leveraging infrastructure including Cloud computing solutions and relational database environments.· Build predictive models that are accurate and robust and that help our customers to utilize the core platform to the maximum extent.Skills and Qualifications:· 3 years + of experience.· An advanced degree in predictive analytics, machine learning, artificial intelligence; or a degree in programming and significant experience with text analytics/NLP. He shall have a strong background in machine learning (unsupervised and supervised techniques). In particular, excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, logistic regression, MLPs, RNNs, etc.· Experience with text mining, parsing, and classification using state-of-the-art techniques.· Experience with information retrieval, Natural Language Processing, Natural Language Understanding and Neural Language Modeling.· Ability to evaluate the quality of ML models and to define the right performance metrics for models in accordance with the requirements of the core platform.· Experience in the Python data science ecosystem: Pandas, NumPy, SciPy, scikit-learn, NLTK, Gensim, etc.· Excellent verbal and written communication skills, particularly possessing the ability to share technical results and recommendations to both technical and non-technical audiences.· Ability to perform high-level work both independently and collaboratively as a project member or leader on multiple projects.
About antuit.ai Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through. Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital. The Role: Antuit is looking for a Data / Sr. Data Scientist who has the knowledge and experience in developing machine learning algorithms, particularly in supply chain and forecasting domain with data science toolkits like Python. In this role, you will design the approach, develop and test machine learning algorithms, implement the solution. The candidate should have excellent communication skills and be results driven with a customer centric approach to problem solving. Experience working in the demand forecasting or supply chain domain is a plus. This job also requires the ability to operate in a multi-geographic delivery environment and a good understanding of cross-cultural sensitivities. Responsibilities: Responsibilities includes, but are not limited to the following: Design, build, test, and implement predictive Machine Learning models. Collaborate with client to align business requirements with data science systems and process solutions that ensure client’s overall objectives are met. Create meaningful presentations and analysis that tell a “story” focused on insights, to communicate the results/ideas to key decision makers. Collaborate cross-functionally with domain experts to identify gaps and structural problems. Contribute to standard business processes and practices as part of a community of practise. Be the subject matter expert across multiple work streams and clients. Mentor and coach team members. Set a clear vision for the team members and working cohesively to attain it. Qualifications and Skills: Requirements Experience / Education: Master’s or Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, Statistics, Applied Mathematics or other related 5+ years’ experience working in applied machine learning or relevant research experience for recent Ph.D. graduates. Highly technical: Skilled in machine learning, problem-solving, pattern recognition and predictive modeling with expertise in PySpark and Python. Understanding of data structures and data modeling. Effective communication and presentation skills Able to collaborate closely and effectively with teams. Experience in time series forecasting is preferred. Experience working in start-up type environment preferred. Experience in CPG and/or Retail preferred. Effective communication and presentation skills. Strong management track record. Strong inter-personal skills and leadership qualities. Information Security Responsibilities Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System. Take part in Information Security training and act accordingly while handling information. Report all suspected security and policy breach to Infosec team or appropriate authority (CISO). EEOC Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
About antuit.ai Antuit.ai is the leader in AI-powered SaaS solutions for Demand Forecasting & Planning, Merchandising and Pricing. We have the industry’s first solution portfolio – powered by Artificial Intelligence and Machine Learning – that can help you digitally transform your Forecasting, Assortment, Pricing, and Personalization solutions. World-class retailers and consumer goods manufacturers leverage antuit.ai solutions, at scale, to drive outsized business results globally with higher sales, margin and sell-through. Antuit.ai’s executives, comprised of industry leaders from McKinsey, Accenture, IBM, and SAS, and our team of Ph.Ds., data scientists, technologists, and domain experts, are passionate about delivering real value to our clients. Antuit.ai is funded by Goldman Sachs and Zodius Capital. The Role: Antuit.ai is interested in hiring a Principal Data Scientist, this person will facilitate standing up standardization and automation ecosystem for ML product delivery, he will also actively participate in managing implementation, design and tuning of product to meet business needs. Responsibilities: Responsibilities includes, but are not limited to the following: Manage and provides technical expertise to the delivery team. This includes recommendation of solution alternatives, identification of risks and managing business expectations. Design, build reliable and scalable automated processes for large scale machine learning. Use engineering expertise to help design solutions to novel problems in software development, data engineering, and machine learning. Collaborate with Business, Technology and Product teams to stand-up MLOps process. Apply your experience in making intelligent, forward-thinking, technical decisions to delivery ML ecosystem, including implementing new standards, architecture design, and workflows tools. Deep dive into complex algorithmic and product issues in production Own metrics and reporting for delivery team. Set a clear vision for the team members and working cohesively to attain it. Mentor and coach team members Qualifications and Skills: Requirements Engineering degree in any stream Has at least 7 years of prior experience in building ML driven products/solutions Excellent programming skills in any one of the language C++ or Python or Java. Hands on experience on open source libraries and frameworks- Tensorflow,Pytorch, MLFlow, KubeFlow, etc. Developed and productized large-scale models/algorithms in prior experience Can drive fast prototypes/proof of concept in evaluating various technology, frameworks/performance benchmarks. Familiar with software development practices/pipelines (DevOps- Kubernetes, docker containers, CI/CD tools). Good verbal, written and presentation skills. Ability to learn new skills and technologies. 3+ years working with retail or CPG preferred. Experience in forecasting and optimization problems, particularly in the CPG / Retail industry preferred. Information Security Responsibilities Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System. Take part in Information Security training and act accordingly while handling information. Report all suspected security and policy breach to Infosec team or appropriate authority (CISO). EEOC Antuit.ai is an at-will, equal opportunity employer. We consider applicants for all positions without regard to race, color, religion, national origin or ancestry, gender identity, sex, age (40+), marital status, disability, veteran status, or any other legally protected status under local, state, or federal law.
Our client is Saudi Arabia’s private sector owned joint-stock industrial company that aims to advance the economic diversification in the country. It is one of the largest chemical companies that also the world’s biggest investor in titanium dioxide. The 3-decade old company provides employment to over 3400 professionals and markets their products to most parts of the world. Apart from their expertise in petrochemicals and advanced metals, they manage several R&D related activities that cover turnkey solutions, testing, product certifications and training, all supporting sustainability and profitability for their company and clients. The team is led by a Standford and Princeton alumnus who holds masters in Business as well as Nuclear Engineering. The other Board members are alumni of prestigious engineering schools across the world, with immense knowledge and experience, and tremendous background in innovation and technology. As aData Scientist, you will be analyzing large amounts of raw information to find patterns that will help improve our company. Your goal will be to help our company analyze trends to make better decisions. What you will do: Identifying valuable data sources and automate collection processes Undertaking preprocessing of structured and unstructured data Analyzing large amounts of information to discover trends and patterns Building predictive models and machine-learning algorithms Combining models through ensemble modeling Presenting information using data visualization techniques Proposing solutions and strategies to business challenges Collaborating with engineering and product development teams Candidate Profile: What you need to have: Data Scientist with min 3 years of experience in Analytics or Data Science preferably in Pricing or Polymer Market Experience using scripting languages like Python(preferred) or R is a must. Experience with SQL, Tableau is good to have Strong numerical, problem solving and analytical aptitude Being able to make data based decisions Ability to present/communicate analytics driven insights. Critical and Analytical thinking skills
If you are interested in joining a purpose-driven community that is dedicated to creating ambitious and inclusive workplaces, then be a part of a high growth startup with a world-class team, building a revolutionary product! Our client is a vertical fintech play focused on solving industry-specific financing gaps in the food sector through the application of data. The platform provides skin-in-the-game growth capital to much-loved F&B brands. Founded in 2019, they’re VC funded and based out of Singapore and India-Bangalore. Founders are the alumnus of IIT-D, IIM-B and Wharton. They’ve 12+ years of experience as Venture capital and corporate entrepreneurship at DFJ, Vertex, InMobi and VP at Snyder UAE, investment banking at Unitus Capital - leading the financial services practice, and institutional equities at Kotak. They’ve a team of high-quality professionals coming together for this mission to disrupt the convention. AsData Scientist, you will develop a first of its kind risk engine for revenue-based financing in India and automating investment appraisals for the company's different revenue-based financing productsWhat you will do: Identifying alternate data sources beyond financial statements and implementing them as a part of assessment criteria Automating appraisal mechanisms for all newly launched products and revisiting the same for an existing product Back-testing investment appraisal models at regular intervals to improve the same Complementing appraisals with portfolio data analysis and portfolio monitoring at regular intervals Working closely with the business and the technology team to ensure the portfolio is performing as per internal benchmarks and that relevant checks are put in place at various stages of the investment lifecycle Identifying relevant sub-sector criteria to score and rate investment opportunities internally Candidate Profile: Desired Candidate Profile What you need to have: Bachelor’s degree with relevant work experience of at least 3 years with CA/MBA (mandatory) Experience in working in lending/investing fintech (mandatory) Strong Excel skills (mandatory) Previous experience in credit rating or credit scoring or investment analysis (preferred) Prior exposure to working on data-led models on payment gateways or accounting systems (preferred) Proficiency in data analysis (preferred) Good verbal and written skills
Why are we building Urbancomapny? Organized service commerce is a large yet young industry in India. While India is a very large market for a home and local services (~USD 50 Billion in retail spends) and expected to double in the next 5 years, there is no billion-dollar company in this segment today. The industry is bare ~20 years old, with a sub-optimal market architecture typical of an unorganized market - fragmented supply side operated by middlemen. As a result, experiences are broken for both customers and service professionals, each largely relying upon word of mouth to discover the other. The industry can easily be 1.5-2x larger than it is today if the frictions in user and professional's journeys are removed - and the experiences made more meaningful and joyful. The Urban Company team is young and passionate, and we see a massive disruption opportunity in his industry. By leveraging technology, and a set of simple yet powerful processes, we wish to build a platform that can organize the world of services - and bring them to your finger-tips. We believe there is the immense value (akin to serendipity) in bringing together customers and professionals looking for each other. In the process, we hope to impact the lives of millions of service entrepreneurs, and transform service commerce they way Amazon transformed product commerce. Job Description : Urbancompany has grown 3x YOY and so as our tech stack. We have evolved in data-driven approach solving for the product over the last few years. We deal with around 10TB in data analytics with around 50Mn/day. We adopted platform thinking pretty at the very early stage of UC. We started building central platform teams who are dedicated solve for core engineering problems around 2-3 years ago and now it has evolved to a full-fledged vertical. Out platform vertical majorly includes Data Engineering, Service and Core Platform, Infrastructure, and Security. We are looking for an Engineering Manager for the Data Engineering team currently. A person who loves solving standardization, have strong platform thinking, opinions, have solved for Data Engineering, Data Science and analytics platform. Job Responsibilities Building high octane teams with high opinions and strong platform thinking Working on complex design and architectural problems. Solving funnel analytics, product insights and building a highly scalable data platform Experience in building Data Science Platform Highly productive data-driven models to contribute to product success and building Visioning out the roadmap and thought process behind taking current tech stack to next level Building and maintaining the high NPS of 70% of platform products Strong decision-maker with hands-on experience Think about abstractions, systems and services and write high-quality code. Have an understanding of loopholes in current systems/architecture that can potentially break in the future and push towards solving them with other stakeholders. Think through complex architecture to build robust platforms to serve together all the categories and flows, solve for scale, and work on internally build services to cater to our growing needs. Job Requirements At least 1-2+ Years of experience in managing teams 5-8 years of experience in the industry solving complex problems from scratch and have graduate/post-graduate degrees from top-tier universities. A thinker with strong opinions and the ability to get those opinions into reality Prior experience of creating complex systems in the past. Ability to build scalable, sustainable, reliable, and secure products based on past experience and leading teams and projects by themselves. Ability to bring new practices, architectural choices, and new initiatives onto the table to make the overall tech stack more robust. History and familiarity with server-side architecture based on APIs, databases, infrastructure, and systems. Ability to own the technical road map for systems/components. What can you expect? A phenomenal work environment, with massive ownership and growth opportunities. A high performance, high-velocity environment at the cutting edge of growth. Strong ownership expectation and freedom to fail. Quick iterations and deployments – fail-fast attitude. Opportunity to work on cutting edge technologies. The massive, and direct impact of the work you do on the lives of people.
About Us: We are a VC-funded startup solving one of the biggest transportation problems India faces. Most passengers in India travel long distance by IRCTC trains. At time of booking, approx 1 out of every 2 passengers end up with a Waitlisted or RAC ticket. This creates a lot of anxiety for passengers, as Railway only announces only 4 hour before departure if they have a confirmed seat. We solve this problem through our Waitlist & RAC Protection. Protection can be bought against each IRCTC ticket at time of booking. If train ticket is not confirmed, we fly the passenger to the destination. Our team consists of 3 Founders from IIT, IIM and ISB. Functional Experience: Computer Science or IT Engineering background with solid understanding of basics of Data Structures and Algorithms 2+ years of data science experience working with large datasets Expertise in Python packages like pandas, numPy, sklearn, matplotlib, seaborn, keras and tensorflow Expertise in Big Data technologies like Hadoop, Cassandra and PostgreSQL Expertise in Cloud computing on AWS with EC2, AutoML, Lambda and RDS Good knowledge of Machine Learning and Statistical time series analysis (optional) Unparalleled logical ability making you the go to guy for all things related to data You love coding like a hobby and are up for a challenge! Cultural: Assume a strong sense of ownership of analytics : Design, develop & deploy Collaborate with senior management, operations & business team Ensure Quality & sustainability of the architecture Motivation to join an early stage startup should go beyond compensation
Lead Data Scientist Who we are? Searce is a niche’ Cloud Consulting business with futuristic tech DNA. We do new-age tech to realize the “Next” in the “Now” for our Clients. We specialize in Cloud Data Engineering, AI/Machine Learning, and Advanced Cloud infra techs such as Anthos and Kubernetes. We are one of the top & fastest-growing partners for Google Cloud and AWS globally with over 2,500 clients successfully moved to the cloud. How we work? It’s all about being Happier first. And the rest follows. Searce work culture is defined by HAPPIER. Humble: Happy people don’t carry ego around. We listen to understand; not to respond. Adaptable: We are comfortable with uncertainty. And we accept changes well. As that’s what life's about. Positive: We are super positive about work & life in general. We love to forget and forgive. We don’t hold grudges. We don’t have time or adequate space for it. Passionate: We are as passionate about the great street-food vendor across the street as about Tesla’s new model and so on. Passion is what drives us to work and makes us deliver the quality we deliver. Innovative: Innovate or Die. We love to challenge the status quo. Experimental: We encourage curiosity & making mistakes. Responsible: Driven. Self-motivated. Self-governing teams. We own it. We welcome *really unconventional* creative thinkers who can work in an agile, flexible environment. We are a flat organization with unlimited growth opportunities, and small team sizes – wherein flexibility is a must, mistakes are encouraged, creativity is rewarded, and excitement is required. Introduction : As a Lead Data Scientist, the candidate will help develop and enhance the algorithms and technology that powers our unique system. This role covers a wide range of challenges, from developing new models using pre-existing components to enable current systems to be more intelligent. You should be able to train models using existing data and use them in the most creative manner to deliver the smartest experience to customers. You will have to develop sophisticated enterprise/cloud technology applications that push the threshold of intelligence in machines. Working on multiple projects at a time, you maintain a consistently high level of attention to detail while finding creative ways to provide analytical insights. You thrive in a fast, high-energy environment and are able to balance multiple projects in real-time. The thrill of the next big challenge drives you, and when faced with an obstacle, you find clever solutions. You must have the ability and interest to work on a range of different types of projects and business processes and must have a background that demonstrates this Ability. Your bucket of undertaking : Collaborate with team members to develop new models to be used for classification problems Responsible for software profiling, performance tuning and analysis, and other general software engineering tasks Use independent judgment to take existing data and build new models from it Collaborate and provide technical guidance Coming up with new ideas, rapid prototyping, and converting prototypes into scalable products Conducting experiments to assess the accuracy and recall of language processing modules and to study the effect of such experiences Improving existing models and creating self-learning systems. Stakeholder management and leadership Decision making and problem-solving Accomplishment Set : Extensive experience with Hadoop and Machine learning algorithms Exposure to Deep Learning, Neural Networks, or related fields and a strong interest and desire to pursue them Experience in Natural Language Processing, Computer Vision, Machine Learning or Machine Intelligence (Artificial Intelligence) Passion for solving NLP problems Experience with specialized tools and project for working with natural language processing Programming experience in Python Knowledge of machine learning frameworks like Tensorflow, Pytorch Experience with software version control systems like Github Fast learner and be able to work independently as well as in a team environment with good written and verbal communication skills Education and Experience : B. E. / B. Tech / Masters in Computer Science Strong in academics and good aptitude Excellent communication skills with a flair to learn quickly 4-8 years of relevant experience Research and implement novel machine learning and statistical approaches Prior exposure to product development would be an added advantage
Responsibilities Work closely with Client to understand business needs and convert them into technical solutions Architect and design end-to-end analytical solutions from data ingestion to deployment Hands-on work with the team Lead delivery of analytical projects acting as senior or lead data scientist Design and develop data engineering pipelines Develop analytical models Review/test models created by other team members Coordinate technical delivery of data engineering and data science tasks Present results to business stakeholders Requirements B.Tech in CS or equivalent technical realted discipline Demonstrated history of leading teams to deliver projects on time 3+ years Experience working as a Data Scientist Strong programming skills in at least two of analytical frameworks R, Python (pandas, nltk, scipy), Spark (Scala, PySpark, SparkR) Strong SQL skills Experience with Exploratory Data Analysis Broad knowledge of statistics and Machine Learning topics (clustering, forecasting, classification, anomaly detection, NLP, NN, Deep Learning) Experience with Cloud (Azure/AWS/Google) Nice to have M.Tech in CS preferred Experience with Big Data MLOps experience (MlFlow, Kubeflow) Why work with us Life at Censius, like a lot of startups, can sometimes feel like a roller coaster. You will get a chance to work with modern AI technologies with some of the smartest and most passionate people. Join us to accelerate your learning, and make a lasting impact. Perks Competitive salary, health insurance, streaming service reimbursement (like Netflix), online courses, free books, and more!
Roles and Responsibilities: Mining large volumes of credit behavior data to generate insights around product holdings and monetization opportunities for cross sell Use data science to size opportunity and product potential for launch of any new product/pilots Build propensity models using heuristics and campaign performance to maximize efficiency. Conduct portfolio analysis and establish key metrics for cross sell partnershipDesired profile/Skills: 2-5 years of experience with a degree in any quantitative discipline such as Engineering, Computer Science, Economics, Statistics or Mathematics Excellent problem solving and comprehensive analytical skills – ability to structure ambiguous problem statements, perform detailed analysis and derive crisp insights. Solid experience in using python and SQL Prior work experience in a financial services space would be highly valuedLocation: Bangalore/ Ahmedabad
3+ years of experience in Machine Learning Bachelors/Masters in Computer Engineering/Science. Bachelors/Masters in Engineering/Mathematics/Statistics with sound knowledge of programming and computer concepts. 10 and 12th acedemics 70 % & above. Skills : - Strong Python/ programming skills - Good conceptual understanding of Machine Learning/Deep Learning/Natural Language Processing - Strong verbal and written communication skills. - Should be able to manage team, meet project deadlines and interface with clients. - Should be able to work across different domains and quickly ramp up the business processes & flows & translate business problems into the data solutions
Why are we building Urban Company? Organized service commerce is a large yet young industry in India. While India is a very large market for home and local services (~USD 50 Billion in retail spends) and expected to double in the next 5 years, there is no billion-dollar company in this segment today. The industry is bare ~20 years old, with a sub-optimal market architecture typical of an unorganized market - fragmented supply side operated by middlemen. As a result, experiences are broken for both customers and service professionals, each largely relying upon word of mouth to discover the other. The industry can easily be 1.5-2x larger than it is today if the frictions in user and professional journeys are removed - and the experiences made more meaningful and joyful. The Urban Company team is young and passionate, and we see a massive disruption opportunity in his industry. By leveraging technology, and a set of simple yet powerful processes, we wish to build a platform that can organize the world of services - and bring them to your finger-tips. We believe there is the immense value (akin to serendipity) in bringing together customers and professionals looking for each other. In the process, we hope to impact the lives of millions of service entrepreneurs, and transform service commerce the way Amazon transformed product commerce. Urbancompany has grown 3x YOY and so as our tech stack. We have evolved in data-driven approach solving for the product over the last few years. We deal with around 10TB in data analytics with around 50Mn/day. We adopted the platform thinking pretty early stage of UC. We started building central platform teams who are dedicated to solving core engineering problems around 2-3 years ago and now it has evolved to a full-fledged vertical. Out platform vertical majorly includes Data Engineering, Service and Core Platform, Infrastructure, and Security. We are looking for Data Engineers, a person who loves solving standardization, has strong platform thinking, opinions, and has solved for Data Engineering, Data Science and analytics platforms. Job Responsibilities Platform first approach to engineering problems. Creating highly autonomous systems with minimal manual intervention. Frameworks which can be extended to larger audiences through open source. Extending and modifying the open source projects to adopt as per Urban Company use case. Developer productivity. Highly abstracted and standardized frameworks like micro services, event-driven architecture, etc. Job Requirements/Potential Backgrounds Bachelors/master’s in computer science form top-tier Engineering School. Experience with Data pipeline and workflow management tools like Luigi, Airflow etc. Proven ability to work in a fast paced environment. History and Familiarity of server-side development of APIs, databases, dev-ops and systems. Fanatic about building scalable, reliable data products. Experience with Big data tools: Hadoop, Kafka/Kinesis, Flume, etc. is an added advantage. Experience with Relational SQL and NO SQL databases like HBase, Cassandra etc. Experience with stream processing engines like Spark, Link, Storm, etc. is an added advantage. What UC has in store for you A phenomenal work environment, with massive ownership and growth opportunities. A high performance, high-velocity environment at the cutting edge of growth. Strong ownership expectation and freedom to fail. Quick iterations and deployments – fail-fast attitude. Opportunity to work on cutting edge technologies. The massive, and direct impact of the work you do on the lives of people.
We’re building our Engineering team at Assembly, a fast-growing start-up based in Los Angeles and Bangalore! Our recognition and rewards platform offers organizations a better way to engage employees and drive organizational culture. About you We are looking for our very first Data Scientist to join the team and contribute to the evolving Assembly product offering. You will be responsible for building state of the art ML models to improve product usage to our customers. You are passionate about company culture. You love challenging yourself to constantly improve, and you share your knowledge to empower others. You are self-directed and scrappy, able to solve problems effectively without compromising the product. You look beyond the surface to understand the root causes so that you can build long-term solutions for the whole ecosystem. And finally, you enjoy being a part of a small but mighty team with a mission of changing the way companies engage their employees! Job Description We are looking for a data scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products. Some early projects you will work on and not limited to: Build a system for automated fraud detection and analyze sentences to give value to our customers. Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending the company’s data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance Requirements Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests. Experience with common data science toolkits, such as Notebook, Sagemaker, Weka, NumPy, Scikit. Excellence in at least one of these is highly desirable Great communication skills Experience on state of the art models Roberta, GPT etc is a huge plus Good applied statistics skills, such as distributions, statistical testing, regression, etc. Data-oriented personality
About Us upGrad is an online education platform building the careers of tomorrow by offering the most industry-relevant programs in an immersive learning experience. Our mission is to create a new digital-first learning experience to deliver tangible career impact to individuals at scale. upGrad currently offers programs in Data Science, Machine Learning, Product Management, Digital Marketing, and Entrepreneurship, etc. upGrad is looking for people passionate about management and education to help design learning programs for working professionals to stay sharp and stay relevant and help build the careers of tomorrow. upGrad was awarded the Best Tech for Education by IAMAI for 2018-19 upGrad was also ranked as one of the LinkedIn Top Startups 2018: The 25 most sought- after startups in India upGrad was earlier selected as one of the top ten most innovative companies in India by FastCompany. We were also covered by the Financial Times along with other disruptors in Ed-Tech upGrad is the official education partner for Government of India - Startup India program Our program with IIIT B has been ranked #1 program in the country in the domain of Artificial Intelligence and Machine Learning Role Summary Are you excited by the challenge and the opportunity of applying data-science and data- analytics techniques to the fast developing education technology domain? Do you look forward to, the sense of ownership and achievement that comes with innovating and creating data products from scratch and pushing it live into Production systems? Do you want to work with a team of highly motivated members who are on a mission to empower individuals through education?If this is you, come join us and become a part of the upGrad technology team. At upGrad the technology team enables all the facets of the business - whether it’s bringing efficiency to ourmarketing and sales initiatives, to enhancing our student learning experience, to empowering our content, delivery and student success teams, to aiding our student’s for their desired careeroutcomes. We play the part of bringing together data & tech to solve these business problems and opportunities at hand.We are looking for an highly skilled, experienced and passionate data-scientist who can come on-board and help create the next generation of data-powered education tech product. The ideal candidate would be someone who has worked in a Data Science role before wherein he/she is comfortable working with unknowns, evaluating the data and the feasibility of applying scientific techniques to business problems and products, and have a track record of developing and deploying data-science models into live applications. Someone with a strong math, stats, data-science background, comfortable handling data (structured+unstructured) as well as strong engineering know-how to implement/support such data products in Production environment.Ours is a highly iterative and fast-paced environment, hence being flexible, communicating well and attention-to-detail are very important too. The ideal candidate should be passionate about the customer impact and comfortable working with multiple stakeholders across the company. Roles & Responsibilities 3+ years of experience in analytics, data science, machine learning or comparable role Bachelor's degree in Computer Science, Data Science/Data Analytics, Math/Statistics or related discipline Experience in building and deploying Machine Learning models in Production systems Strong analytical skills: ability to make sense out of a variety of data and its relation/applicability to the business problem or opportunity at hand Strong programming skills: comfortable w