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
At myyogateacher, we are looking for a software engineer with at leat 3 years experience as data engineer. She/he should be able to extract data from multiple sources like FB, google, dashboard, app and create a possible funnel to do meaningful analysis. Should be good at algorithms, logic and able to work effectively on spreadsheet.
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 with Python - pandas, numpy, scipy, matplotlib; Databases - SQL and noSQL Strong communication skills: ability to both formulate/understand the business problem at hand as well as ability to discuss with non data-science background stakeholders Comfortable dealing with ambiguity and competing objectives Skills Required Experience in Text Analytics, Natural Language Processing Advanced degree in Data Science/Data Analytics or Math/Statistics Comfortable with data-visualization tools and techniques Knowledge of AWS and Data Warehousing Passion for building data-products for Production systems - a strong desire to impact the product through data-science technique
Associate Director – Data ScienceTiger Analytics is a global AI & analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modeled around expertise and mutual respect with a team first mindset. Working at Tiger, you’ll be at the heart of this AI revolution. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.We are headquartered in the Silicon Valley and have our delivery centres across the globe. The below role is for our Chennai or Bangalore office, or you can choose to work remotely.About the Role:As an Associate Director - Data Science at Tiger Analytics, you will lead data science aspects of endto-end client AI & analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.• Work closely with internal teams and client stakeholders to design analytical approaches tosolve business problems• Develop and enhance a broad range of cutting-edge data analytics and machine learningproblems across a variety of industries.• Work on various aspects of the ML ecosystem – model building, ML pipelines, logging &versioning, documentation, scaling, deployment, monitoring and maintenance etc.• Lead a team of data scientists and engineers to embed AI and analytics into the clientbusiness decision processes.Desired Skills:• High level of proficiency in a structured programming language, e.g. Python, R.• Experience designing data science solutions to business problems• Deep understanding of ML algorithms for common use cases in both structured andunstructured data ecosystems.• Comfortable with large scale data processing and distributed computing• Excellent written and verbal communication skills• 10+ years exp of which 8 years of relevant data science experience including hands-onprogramming.Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry.
Responsibilities Design experiments, test hypotheses, and build models utilizing the traditional datasets and graph data. Apply advanced statistical and predictive modeling techniques to build, maintain, and improve on multiple real-time decision systems. Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as geo-location or social media Utilize patterns and variations in the volume, speed and other characteristics of data for predictive analysis. Define the preprocessing or feature engineering to be done on a given dataset, data augmentation pipelines, training models and tuning their hyperparameters, analyzing the errors of the model and designing strategies to overcome them Selecting features, building and optimizing classifiers using machine learning techniques Extending the company’s data with third party sources of information when needed Creating automated anomaly detection systems and constant tracking of its performance Skills and Qualifications Bachelors in mathematics, statistics or computer science or a related field; Masters or PHD degree preferred. Experience with one or two of the following: Deep Learning methods, NLP, computer vision, sentiment analysis, topic modeling and graph theory and databases Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai) Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud Experience with building and deploying predictive and prescriptive analytics models Ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets. Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues. Strong communication and interpersonal skills
B.Tech/MTech from tier 1 institution 8+years of experience in machine learning techniques like logistic regression, random forest, boosting, trees, neural networks, etc. Showcased experience with Python, SQL and proficiency in Scikit Learn, Pandas, NumPy, Keras and TensorFlow/pytorch Experience of working with Qlik sense or Tableau is a plus Experience of working in a product company is a plus
2 to 4 years of relevant industry experience Experience in Linear algebra, statistics & Probability skills, such as distributions, Deep Learning, Machine Learning Strong mathematical and statistics background is a must Experience in machine learning frameworks such as Tensorflow, Caffe, PyTorch, or MxNet Strong industry experience in using design patterns, algorithms and data structures Industry experience in using feature engineering, model performance tuning, and optimizing machine learning models Hands on development experience in Python and packages such as NumPy, Sci-Kit Learn and Matplotlib Experience in model building, hyper parameter tuning and optimization.
Role & Responsibilities: 1) Understand the business objectives, formulate hypotheses and collect the relevant data using SQL/R/Python. Analyse bureau, customer and lending performance data on a periodic basis to generate insights. Present complex information and data in an uncomplicated, easyto-understand way to drive action.2) Independently Build and refit robust models for achieving game-changing growth while managing risk.3) Identify and implement new analytical/modelling techniques to improve model performance across customer lifecycle (acquisitions, management, fraud, collections, etc.4) Help define the data infrastructure strategy for Indian subsidiary.a. Monitor data quality and quantity. b. Define a strategy for acquisition, storage, retention, and retrieval of data elements. e.g.: Identify new data types and collaborate with technology teams to capture them. c. Build a culture of strong automation and monitoring d. Staying connected to the Analytics industry trends - data, techniques, technology, etc. and leveraging them to continuously evolve data science standards at Credit Saison. Required Skills & Qualifications: 1) 3+ years working in data science domains with experience in building risk models. Fintech/Financial analysis experience is required. 2) Expert level proficiency in Analytical tools and languages such as SQL, Python, R/SAS, VBA etc. 3) Experience with building models using common modelling techniques (Logistic and linear regressions, decision trees, etc.) 4) Strong familiarity with Tableau//Power BI/Qlik Sense or other data visualization tools 5) Tier 1 college graduate (IIT/IIM/NIT/BITs preferred). 6) Demonstrated autonomy, thought leadership, and learning agility.
Description About Zycus : Headquartered in Princeton, U.S. in 1998, Zycus has grown every day to be established as an organization which now is a leading global provider of complete Source-to-Pay suite of procurement performance solutions. We develop cloud-based (SaaS) Source-to-Pay solutions for large global enterprises, and have successfully deployed about 200 solutions to over 1000 Global clients. We are proud to have as our clients, some of the best-of- breed companies across verticals like Manufacturing, Automotives, Banking and Finance, Oil and Gas, Food Processing, Electronics, Telecommunications, Chemicals, Health and Pharma, Education and more. With a team of 1000+employees, we are present in India with 3 development centers at Bengaluru, Mumbai & Pune and offices in the U.S., U.K., Australia, Dubai, Netherlands and Singapore. Know more about the LEADER of: Gartner’s 2013, 2015 & 2017 Magic Quadrant for Strategic Sourcing Application Suites and The Forrester Wave™: eProcurement, Q2 2017 We are in process of launching Merlin A.I. Studio™. The artificial intelligence (AI)-based platform will allow procurement teams to to build and deploy bots across the source-to-pay process. The bots will be used by firms leveraging more than 1,100 APIs from Zycus’ solution suite. “By deploying the intelligent bots from Merlin A.I. Studio™, procurement can put themselves in cruise control mode as the bots work towards accomplishing tasks with zero human intervention,” The Fortune 500-serving firm explained in its press release “Be it running an RFI event, discovering contract risks, negotiating with suppliers or transnational procurement; all one needs to do is launch the bot and see the magic unfold.” “It will empower procurement to transform their routine, repetitive & mundane procurement tasks, so that time, effort & resources can be optimized towards more strategic initiatives.”Exp : 1 to 10 Years Role : Data Scientist Location : Bangalore Education : Any Engineering From IIT ,NIT , IIIT ,VIT , BITS Pilani Please carry your original ID proof along with Hard Copy of Resume Requirements We are especially looking for applicants with a strong background in Analytics and Data mining (Web, Social and Big data), Machine Learning and Pattern Recognition, Natural Language Processing and Computational Linguistics, Statistical Modelling and Inferencing, Information Retrieval, Large Scale Distributed Systems and Cloud Computing, Econometrics and Quantitative Marketing, Applied Game Theory and Mechanism Design, Operations Research and Optimization, Human Computer Interaction and Information Visualization. Applicants with a background in other quantitative areas are also encouraged to apply. If you are passionate about research and developing innovative technologies of interest to Zycus and the research community at large, the BigData Experience Lab may be the right place for you. All successful candidates are expected to dive deep into problem areas of Zycus’s interest and invent technology solutions to not only advance the current products, but also to generate new product options that can strategically advantage Zycus Skills Master’s or Ph.D. in statistics, mathematics, or computer science Only from Tier 1 Colleges Experience using statistical computer languages such as R, Python, SQL, etc. Experience in statistical and data mining techniques, including generalized linear model/regression, random forest, boosting, trees, text mining, social network analysis Experience working with and creating data architectures Knowledge of machine learning techniques such as clustering, decision tree learning, and artificial neural networks Knowledge of advanced statistical techniques and concepts, including regression, properties of distributions, and statistical tests 2-10 years of experience manipulating data sets and building statistical models Experience using web services: Redshift, S3, Spark, DigitalOcean, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc. Experience visualizing/presenting data. Data Scientist will report in to Director Engineering - Data Scentist & the roles & responsibilities are as below: Work as the data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems Benefits : Along with a competitive compensation structure, Zycus believes in an open culture learning environment, where everyone gets a chance to share their ideas and deliver par excellence. Here's a sneak peek to our life at Zycus.
• Model design, feature planning, system infrastructure, production setup and monitoring, and release management. • Excellent understanding of machine learning techniques and algorithms, such as SVM, Decision Forests, k-NN, Naive Bayes etc.• Experience in selecting features, building and optimizing classifiers using machine learning techniques.• Prior experience with data visualization tools, such as D3.js, GGplot, etc..• Good knowledge on statistics skills, such as distributions, statistical testing, regression, etc..• Adequate presentation and communication skills to explain results and methodologies to non-technical stakeholders.• Basic understanding of the banking industry is value addDevelop, process, cleanse and enhance data collection procedures from multiple data sources.• Conduct & deliver experiments and proof of concepts to validate business ideas and potential value.• Test, troubleshoot and enhance the developed models in a distributed environments to improve it's accuracy.• Work closely with product teams to implement algorithms with Python and/or R.• Design and implement scalable predictive models, classifiers leveraging machine learning, data regression.• Facilitate integration with enterprise applications using APIs to enrich implementations
The person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain. At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain. Candidates will be expected to lead projects across several areas such as Demand forecasting Inventory management Simulation & Mathematical optimization models. Procurement analytics Distribution/Logistics planning Network planning and optimization Qualification and Experience 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain. Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain Hands-on experience in delivery of projects using statistical modelling Skills / Knowledge Hands on experience in statistical modelling software such as R/ Python and SQL. Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage. Highly proficient with Excel, PowerPoint and Word applications. APICS-CSCP or PMP certification will be added advantage Strong knowledge of supply chain management Working knowledge on the linear/nonlinear optimization Ability to structure problems through a data driven decision-making process. Excellent project management skills, including time and risk management and project structuring. Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis. Ability to liaison effectively with multiple stakeholders and functional disciplines. Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.
About Kiwi India Pvt .Ltd. Kiwi is a mobile entertainment company backed by top tier investors. We're focused on building the next generation of mobile entertainment platforms and applications incorporating rich media content and AI. Located in Bangalore, Karnataka, and Santa Monica, California, the company has previously built hit mobile titles on both Android and iOS, with top grossing games on the Android platform. OUR PRODUCT Joyride is a live game show app, with a growing lineup of interactive and diverse shows. Players can team up with their friends to compete against the community and split real cash prizes, and even host their own shows! On Joyride, you'll get to: Play in live shows for real money and bragging rights! Create your show and play on-camera for your followers Play as a team with friends Interact with the community in text chat to find new friends Join video chats with friends to keep playing when the show's over We have the following games live: Quizzo: Live trivia game. Careful - if you get one wrong, you’re out! Trivia Crush: It’s all about speed! Answer the trivia questions as fast as possible to make the cut. Music Mania: This song sound familiar? Guess the song title to stay in the game! Film Frenzy: Know this movie? Guess the film title to stay in the game! Sold!: Guess the auction price for an array of weird and wonderful items! Superfans: Are you the expert on Harry Potter? DC Comics? Then this show is for you - all themed trivia, all the time. Swipe: See how well you know our guests as you swipe through potential dates! The Crush: Help our guest choose between two potential dates as they get to know each other on camera Drawzzle: Watch the Host draw clues, and guess the word to stay in the game ….And many more shows coming soon. Get a glimpse of Joyride (Channels where we stream our game shows): Youtube Channel Twitch Channel FB Page JOB DESCRIPTIONKey Responsibilities: Track key metrics including retention, monetization, virality and general engagement. Provide various product and user insights to optimize the metrics and drive key business decisions Research into market data as well as user demographics to make well-informed decisions on future business strategies, product roadmap and production roadmap Bring expertise in your product areas and conduct rigorous A/B tests and data analysis to help improve customer experiences and identify profitable growth opportunities Managing various real-time reports and help stakeholders translate reports and data into actionable insights. This includes: P&L, LTV, virality and user behaviour reports with Product Team App performance, programming bugs with Tech Team User Acquisition and cost reports with Marketing Team and more Skills Required 7+ years of analytics experience in a consumer internet business with exceptional quantitative skills 2+ years of experience in product analytics Experience in analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.) is a plus Experience in mobile or social games is a plus Experience in managing and leading teams is a plus Proficient in SQL, scripting (either of spreadsheets scripting/VBA/Java etc.) Experience in statistical analysis using a statistical programming language like R Detail-oriented and data driven mindset and aptitude for solving complex, unstructured problems involving multidimensional datasets Proven ability to work effectively with multifunctional teams Driven to succeed with a strong work ethic Excellent interpersonal and communication skills Bachelors or Masters in engineering/statistics or similar field from top tier colleges like IITs, IIITs is preferred
(Senior) Data Scientist Job DescriptionAbout usDataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.Data Science@DataWeaveWe the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.How we work?It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale! What do we offer?● Some of the most challenging research problems in NLP and Computer Vision. Huge text and imagedatasets that you can play with!● Ability to see the impact of your work and the value you're adding to our customers almost immediately.● Opportunity to work on different problems and explore a wide variety of tools to figure out what reallyexcites you.● A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexibleworking hours.● Learning opportunities with courses and tech conferences. Mentorship from seniors in the team.● Last but not the least, competitive salary packages and fast paced growth opportunities.Who are we looking for?The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.We are looking for someone with a Master's degree and 1+ years of experience working on problems in NLP or Computer Vision.If you have 4+ years of relevant experience with a Master's degree (PhD preferred), you will be considered for a senior role.Key problem areas● Preprocessing and feature extraction noisy and unstructured data -- both text as well as images.● Keyphrase extraction, sequence labeling, entity relationship mining from texts in different domains.● Document clustering, attribute tagging, data normalization, classification, summarization, sentimentanalysis.● Image based clustering and classification, segmentation, object detection, extracting text from images,generative models, recommender systems.● Ensemble approaches for all the above problems using multiple text and image based techniques.Relevant set of skills● Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus,optimization, algorithms and complexity.● Background in one or more of information retrieval, data mining, statistical techniques, natural languageprocessing, and computer vision.● Excellent coding skills on multiple programming languages with experience building production gradesystems. Prior experience with Python is a bonus.● Experience building and shipping machine learning models that solve real world engineering problems.Prior experience with deep learning is a bonus.● Experience building robust clustering and classification models on unstructured data (text, images, etc).Experience working with Retail domain data is a bonus.● Ability to process noisy and unstructured data to enrich it and extract meaningful relationships.● Experience working with a variety of tools and libraries for machine learning and visualization, includingnumpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.● Use the command line like a pro. Be proficient in Git and other essential software development tools.● Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.● Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.● It's a huge bonus if you have some personal projects (including open source contributions) that you workon during your spare time. Show off some of your projects you have hosted on GitHub.Role and responsibilities● Understand the business problems we are solving. Build data science capability that align with our product strategy.● Conduct research. Do experiments. Quickly build throw away prototypes to solve problems pertaining to the Retail domain.● Build robust clustering and classification models in an iterative manner that can be used in production.● Constantly think scale, think automation. Measure everything. Optimize proactively.● Take end to end ownership of the projects you are working on. Work with minimal supervision.● Help scale our delivery, customer success, and data quality teams with constant algorithmic improvements and automation.● Take initiatives to build new capabilities. Develop business awareness. Explore productization opportunities.● Be a tech thought leader. Add passion and vibrance to the team. Push the envelope. Be a mentor to junior members of the team.● Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
Required Skill Set: -5+ years of hands-on experience in delivering results-driven analytics solutions with proven business value - Great consulting and quantitative skills, detail-oriented approach, with proven expertise in developing solutions using SQL, R, Python or such tools - A background in Statistics / Econometrics / Applied Math / Operations Research would be considered a plus -Exposure to working with globally dispersed teams based out of India or other offshore locations Role Description/ Responsibilities: Be the face of LatentView in the client's organization and help define analytics-driven consulting solutions to business problems -Translate business problems into analytic solution requirements and work with the LatentView team to develop high-quality solutions "- Communicate effectively with client / offshore team to manage client expectations and ensure timeliness and quality of insights -Develop expertise in clients business and help translate that into increasingly high value-added advisory solutions to client -Oversee Project Delivery to ensure the team meets the quality, productivity and SLA objectives - Grow the Account in terms of revenue and the size of the team You should Apply if you want to: - Change the world with Math and Models: At the core, we believe that analytics can help drive business transformation and lasting competitive advantage. We work with a heavy mix of algorithms, analysis, large databases and ROI to positively transform many a client- business performance - Make a direct impact on business: Your contribution to delivering results-driven solutions can potentially lead to millions of dollars of additional revenue or profit for our clients - Thrive in a Fast-pace Environment: You work in small teams, in an entrepreneurial environment, and a meritorious culture that values speed, growth, diversity and contribution - Work with great people: Our selection process ensures that we hire only the very best, while more than 50% of our analysts and 90% of our managers are alumni/alumna of prestigious global institutions
WyngCommerce is building state of the art AI software for the Global Consumer Brands & Retailers to enable best-in-class customer experiences. Our vision is to democratize machine learning algorithms for our customers and help them realize dramatic improvements in speed, cost and flexibility. Backed by a clutch of prominent angel investors & having some of the category leaders in the retail industry as clients, we are looking to hire for our data science team. The data science team at WyngCommerce is on a mission to challenge the norms and re-imagine how retail business should be run across the world. As a Junior Data Scientist in the team, you will be driving and owning the thought leadership and impact on one of our core data science problems. You will work collaboratively with the founders, clients and engineering team to formulate complex problems, run Exploratory Data Analysis and test hypotheses, implement ML-based solutions and fine tune them with more data. This is a high impact role with goals that directly impact our business. Your Role & Responsibilities: - Implement data-driven solutions based on advanced ML and optimization algorithms to address business problems - Research, experiment, and innovate ML/statistical approaches in various application areas of interest and contribute to IP - Partner with engineering teams to build scalable, efficient, automated ML-based pipelines (training/evaluation/monitoring) - Deploy, maintain, and debug ML/decision models in production environment - Analyze and assess data to ensure high data quality and correctness of downstream processes - Communicate results to stakeholders and present data/insights to participate in and drive decision making Desired Skills & Experiences: - Bachelors or Masters in a quantitative field from a top tier college - 1-2 years experience in a data science / analytics role in a technology / analytics company - Solid mathematical background (especially in linear algebra & probability theory) - Familiarity with theoretical aspects of common ML techniques (generalized linear models, ensembles, SVMs, clustering algos, graphical models, etc.), statistical tests/metrics, experiment design, and evaluation methodologies - Demonstrable track record of dealing with ambiguity, prioritizing needs, bias for iterative learning, and delivering results in a dynamic environment with minimal guidance - Hands-on experience in at least one of the following: (a) Anomaly Detection, (b) Time Series Analysis, (c) Product Clustering, (d) Demand Forecasting, (e) Intertemporal Optimization - Good programming skills (fluent in Java/Python/SQL) with experience of using common ML toolkits (e.g., sklearn, tensor flow, keras, nltk) to build models for real world problems - Computational thinking and familiarity with practical application requirements (e.g., latency, memory, processing time) - Excellent written and verbal communication skills for both technical and non-technical audiences - (Plus Point) Experience of applying ML / other techniques in the domain of supply chain - and particularly in retail - for inventory optimization, demand forecasting, assortment planning, and other such problems - (Nice to have) Research experience and publications in top ML/Data science conferences
About Vedantu --------------------------- If you have ever dreamed about being in the driver’s seat of a revolution, THIS is the place for you. Vedantu is an Ed-Tech startup which is into Live Online Tutoring. Recently raised Series B funding of $11M Job Description We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at using large data sets to find opportunities for product, sales and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data analysis methods, building and implementing models and using/creating appropriate algorithms. Desired Skills 1. Experience using statistical computer languages (R, Python,etc.) to manipulate data and draw insights from large data sets. 2. Process, cleanse, and verify the integrity of data used for analysis. 3. Comfortable manipulating and analyzing complex, high-volume, high-dimensionality data from varying, heterogeneous sources 4. Experience with messy real-world data -- handling missing/incomplete/inaccurate data 5. Understanding of a broad set of Algorithms and Applied Math. 6. Good at problem solving, probability and statistics and knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage) and experience with applications. 7. Knowledge of data scraping is preferable 8. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks) and their real-world advantages/drawbacks. 9. Experience with big data tools (Hadoop, Hive, MapReduce) a plus.