Data Analyst Reporting to Head of Analytics, you are someone who excels at crunching data and using it for generating business insights. As a data-loving member of the team, you will serve as an analytics expert and help the company’s leaders make better decisions. Job Responsibilities: • Develop and automate reports, iteratively build and prototype dashboards to provide insights for solving the company’s analytical needs • Help answer specific business questions by writing a clear, usable project plan and executing with minimal guidance • Support maintenance and up-gradation of an end-to-end Analytics Platforms that connects data systems and business intelligence (BI) systems • Collaborate with cross-functional partners to understand their business needs, formulate and complete end-to-end analysis that includes data gathering, analysis, and insights • Research and analyze key business drivers, trends and operating metrics Required Qualifications: • BS Degree in a quantitative discipline (e.g. computer science, mathematics, statistics, economics) • 3 plus years of relevant experience in analytics at a tech / SaaS / consulting company • Extensive experience with articulating business questions, pulling data from datasets (SQL) and using new age BI tools (e.g. Tableau, Data Studio) to arrive at an answer • Demonstrated understanding of statistical modeling techniques; ability to effectively influence and communicate cross-functionally across all levels • Ability to consistently deliver quality outputs in a fast-paced environment, while working with tight deadlines • Extremely well-organized and capable of handling multiple projects and ad-hoc requests simultaneously
• Using statistical and machine learning techniques to analyse large-scale user data, including text data and chat logs; • Applying machine learning techniques for text mining and information extraction based on structured, semi-structured and unstructured data; • Contributing to services like chatbots, voice portals and dialogue systems • Input your own ideas to improve existing processes on services and products
This profile will be majorly focused on risk analytics, with some focus on collections/ marketing analytics. The analyst will get to work on different data sources to extract meaningful information and develop credit scoring strategies/models to be used for lending. The range of work will cover handling large quantities of data (breadth and depth), exploring new data sources to find relevant information, constructing different variables and uncovering meaningful relationship with lending risks, as well as building scoring models for credit and collections and building relevant reports/dashboards. Requirements: 1. Technology / Engineering / Statistics background (Tier - I / Tier- II institutes preferably) with exposure to machine learning algorithms, python/ R or other analytics tools 2. Previous experience in risk divisions of banks / NBFCs will be a plus
You'll be giving industry standard training to engineering students and mentoring them to develop their custom mini projects.
Description : - As a VP - AI you are expected to manage a team of research and platform engineers, collaborates with business subject matter experts and technology delivery teams to deliver strategic cognitive computing projects from design, prototype, to full deployment and operation. - Manage the entire lifecycle of a research project - Collaborating with business experts for business understanding, supporting business value potential identification, leading research and platform engineers for solutions and working with technology teams for prototyping and client pilot implementations. - Provide leadership and guidance of the R&D team in terms of contributing to publications along with publications in leading journals and participation in relevant conferences. - Get complex and complicated deep learning and neural networks concepts Requirements : Education : Ph.D. or Masters in Computer Science, Statistics, Mathematics or related scientific fields Overall experience : 10+ years - 10-12 years of experience in natural language processing, machine learning, machine reasoning, Computer Vision, knowledge representation and reasoning (KRR) and data mining, unstructured data analytics in corporate - Prior experience in cognitive computing product development is an advantage - Proven programming skills to enable rapid prototyping and implementation of solutions - Ability to understand business context and integrate cognitive and advanced analytics levers for solutions - Strong academic credentials with publications in journals and conferences an advantage - Ability to work in a global collaborative team environment - Proficient verbal and written communication skills in English - Strong with DevOps is preferred - SaaS experience is an advantage
Job Brief and Requirements • We are looking for a Machine Learning/Natural Language Processing Engineer to help us improve our NLP products and create new NLP applications. • Experience in applying different NLP techniques to problems such as text classification, text summarization, question & answering, information retrieval, knowledge extraction, and conversational bots design potentially with both traditional & Deep Learning Techniques • NLP Skills/Tools: NLP, HMM, CRF, LDA, Word2Vec, Seq2Seq, spaCy, Nltk, Gensim, CoreNLP, NLU, NLG etc., • Ability to design & develop practical analytical approach keeping the context of data quality & availability, feasibility, scalability, turnaround time aspects. • Create language models from text data. These language models draw heavily from statistical, deep learning as well as rule based research in recent times around building taggers, parsers, knowledge graph based dictionaries etc. • Understanding of data creation. Develop highly scalable classifiers and tools leveraging machine learning and rules based models. • Work closely with product teams to implement algorithms that power user and developer-facing products. • Perform user research and evaluate user feedback.
About Us : - Kayzen powers the world's best mobile marketing teams to take programmatic in-house. Built on the three key pillars of performance, transparency, and control, Kayzen is a software platform which enables leading app developers, agencies and entrepreneurs to run programmatic user acquisition, retargeting and upper funnel campaigns in-house. - With engineering teams across Berlin and Bangalore, we work on some of the most complex problems in ad-tech building scalable systems listening to 60bn daily ad requests from 1bn+ unique users worldwide. - Kayzen platform is based on sophisticated network of microservices accessible via API and elegant user interface. Website : www.kayzen.io Responsibilities : - Design and develop algorithmic solutions and models for mission-critical problems, delivering high-accuracy and performance in data extraction - Contribute in all phases of the Product Development Lifecycle - Creating efficient solutions and methodologies to address problems related to Real Time Bidding (RTB) such as bid optimization, publisher quality, and audience expansion - Optimize implementations for maximum speed,performance and scalability Requirements : - Excellent programming skills - (at least one of)Python/Java - Experience with ML tools and libraries such as PySpark, Vowpal Wabbit, Scikit-learn, R, Spark, TensorFlow - Strong background in learning algorithms (multi-class, classifications, decision trees, support vector machines and deep learning) - Experience with Unix/Linux - A willingness to dive deep, experiment rapidly and get things done - BE/BTech/MTech or a related technical discipline from reputed universities - Attention to detail, data accuracy, and quality of output - Being passionate about creating great products and experiences for our customers - Strong analytical skills are necessary as the work involves projecting outcomes and isolating issues that need to be resolved to make programs more effective - 3+ years of experience applying machine learning and NLP to solving real-world problems - High levels of creativity and quick problem-solving capabilities, a self-starter with goal-driven focus - Preferred background from the ad-tech industry What do we offer? - An opportunity to work for mobile advertising companies in the Ad Tech space - You get valuable insights into mobile marketing, entrepreneurship and have a high impact on shaping the expansion and success of Kayzen across the globe. - You get an opportunity to be responsible for and manage your own projects - You work directly with decision makers and have an impact in the organization - You experience an excellent learning culture - You are part of a fun, international team of outstanding talents - You enjoy a competitive remuneration package and much more!
At HyperWorks Imaging, we are removing crucial business bottlenecks in R&D, Medtech and Foodtech. Our team members use the latest advances in deep learning and multi-modal machine learning techniques to solve these diverse problems. Some example implementations are in optimizing image based workflow for next gen battery chemistry, enhancing supermarket checkout via visual analytics, creating quality control schema for high value cash crops etc. We expect our new team members to be hands-on contributors who do not shy away from sharing ideas but are also good at trade offs involving quick fixes and deep dives. Primary Duties: 1. Propose and implement novel ML architectures to solve problems at hand. 2. Understand existing ML frameworks and test various optimizations scenarios. 3. Improve accuracies of existing ML algorithms. Skills required: Theano, Tensorflow, Keras, Scikit-Learn, Pandas, Skimage, Image Analytics, CNNs, C++ Other requirements: ➢ Engineering degree or a self taught genius. ➢ Experience with Deep Learning for image analytics ➢ Demonstrated experience (implementations on github, Kaggle etc). Remuneration: 1. Depending on experience, ESOPs for Rock Stars.
Title: Data ScientistExperience: 4 - 8 YearsLocation: Bengaluru/BangaloreJob Description:Roles & Responsibilities:- Solve problems that are challenging and take them right on the face to solve it at any cost, come what may.- Identify, develop and implement the appropriate statistical techniques, algorithms and data mining analysis to create new, scalable solutions that address business challenges across the organization, as well as provide actionable insights with a clear impact on ROI.- Innovate new modelling and machine learning approaches.- Communicate your findings to the appropriate teams through visualisations.- Collaborate and communicate findings to diverse stakeholders.- Define and develop, maintain and evolve data models, tools and capabilities for predicting.- Establish trusted technical advisor relationship and promote and drive innovation and thought leadership.- Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization.- Create interactive tools using cutting-edge visualization techniques (beyond standardvisualization like Tableau, Spotfire, Qlikview etc.- Ability to work with various forms of structured, semi-structured and unstructured data sources.Skill Set & Experience Required:- 4 - 8 Years of experience in a related position as a Data Scientist or Business Analyst building predictive analytics solutions.- Programming background and expertise in building models using at least one of the following languages: SAS, Python, R- Proficient in Machine Learning or Natural Language Processing.- Advanced knowledge of statistical techniques, machine learning algorithms, data mining & text mining.- Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout)- Strong story-telling & articulation skills.- Strong Statistics Background.- Strong communication and organizational skills.
Recruitment has been a weird problem. While companies complain they can't get good talent, there are hordes of talented professionals who are unable to easily find their next big opportunity. At CutShort, we are building an intelligent and tech-enabled platform that removes noise and connects these two sides seamlessly. More than 4000 companies have used our platform to hire 3x more people in 1/3rd the time and professionals get a great experience that just works. As we take CutShort in the next growth phase, we want to make it more intelligent. A big initiative is to use our data to simplify UX, reduce user errors and generate better results for our users. We should talk if: 1. You have at least 1 year of full-time experience in using M/L on real data to get real results. 2. Beyond the tools, you have a sound understanding of the underlying mathematical models. 3. You want to work in a fast growing startup where you can complete ownership and minimal supervision. 4. You want to see your work actually making an impact on our user's life. Interested? Let's talk!
About us DataWeave 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@DataWeave We 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 image datasets 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 really excites you. - A culture of openness. Fun work environment. A flat hierarchy. Organization wide visibility. Flexible working 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. 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, sentiment analysis. - 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 language processing, and computer vision. - Excellent coding skills on multiple programming languages with experience building production grade systems. 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, including numpy, 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 work on 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.
Profile Brief/ Responsibilities • Keep up-to-date with latest technology trends. • Work closely with Project/Business/Research teams for identifying the best model for a given problem • Research and build highly efficient and state-of-the art models • Selecting features, building and optimizing models using machine learning techniques. Requirements • 2-5 years of relevant industrial experience in Machine Learning and Deep Learning with: Strong working knowledge in Python, C, C++, Linux. • Excellent understanding of Machine Learning Techniques and Algorithms. • Excellent understanding of Text Analytics concepts and methodologies - Named Entity Recognition, Text Classification, Event Detection, Sentiment Analysis, POS Tagging, Bag of Words. • Hands-on experience with Neural Networks (CNN/, RNN,/ DNN, /BNN,/LSTM, SSD, etc), Support Vector Machine, Conditional Random Field etc. • Experience with GPU/DSP/ISP/SoC architecture and system software • Python, Tensorflow/Caffe/CUDA/Keras • Ability to see big picture, think innovative and suggest out of box solutions. • Ability to write high performance structured code. • Exposure to recent developments in Deep Learning domain
Looking for smart people to join my team.
Job Description: Be responsible for scaling our analytics capability across all internal disciplines and guide our strategic direction in regards to analytics Organize and analyze large, diverse data sets across multiple platforms Identify key insights and leverage them to inform and influence product strategy Technical Interactions with vendor or partners in technical capacity for scope/ approach & deliverables. Develops proof of concept to prove or disprove validity of concept. Working with all parts of the business to identify analytical requirements and formalize an approach for reliable, relevant, accurate, efficientreporting on those requirements Designing and implementing advanced statistical testing for customized problem solving Deliver concise verbal and written explanations of analyses to senior management that elevate findings into strategic recommendations Desired Candidate Profile: MTech / BE / BTech / MSc in CS or Stats or Maths, Operation Research, Statistics, Econometrics or in any quantitative field Experience in using Python, R, SAS Experience in working with large data sets and big data systems (SQL, Hadoop, Hive, etc.) Keen aptitude for large-scale data analysis with a passion for identifying key insights from data Expert working knowledge in various machine learning algorithms such XGBoost, SVM Etc. We are looking candidates from the following: Experience in Unsecured Loans & SME Loans analytics (cards, installment loans) - risk based pricing analytics Experience in Differential pricing / selection analytics (retail, airlines / travel etc). Experience in Digital product companies or Digital eCommerce with Product mindset and experience Experience in Fraud / Risk from Banks, NBFC / Fintech / Credit Bureau Experience in Online media with knowledge of media, online ads & sales (agencies) - Knowledge of DMP, DFP, Adobe/Omniture tools, Cloud Experience in Consumer Durable Loans lending companies (Experience in Credit Cards, Personal Loan - optional) Experience in Tractor Loans lending companies (Experience in Farm) Experience in Recovery, Collections analytics Experience in Marketing Analytics with Digital Marketing, Market Mix modelling, Advertising Technology
Associate Product Manager at Truebil As an Associate Product Manager at Truebil, you will assist in driving the product planning and conceptual definition, as well as the technical execution of the product from beginning to end. You should be keen for building and constantly improving the product using industry experience and feedback from customers. You possess a unique blend of business and technical savvy. You will work with the Technology team to define product release requirements. Your work will guide the Sales and Operations team as well as the marketing team to define the go-to-market strategy, helping them understand the product positioning, key benefits, and target customer. Key Responsibilities: • Assist product delivery - from the smallest bug fix to a feature release and hence in managing the whole product life cycle • Help define innovative yet simple and intuitive products • Act as liaison between business and technology teams and oversee the day-to-day analysis of all product related initiatives to make recommendations to optimize product's functioning to drive business and enhance customer experience • Leverage analytics data and conversion metrics to identify & resolve pain points in user flow • Close involvement in documentation, validation, verification of critical performance data, feedback and findings related to the customer buying funnel Requirements : • Product management or relevant work experience • Experience managing the entire product lifecycle • High-level conceptual thinking about product / user problems • Should be very comfortable with SQL and data analytics and an inclination for numbers with a keen eye for business metric • Experience designing simple and intuitive user interfaces through wireframes and mockups • Strong time management and prioritization skills • Good communication skills along with the ability to effectively collaborate with cross functional teams • Ability to articulate and defend product priorities and strategy for impact • Experience with Product Discovery, Design Thinking, Lean Product a plus • Experience as a designer, developer, data analyst or user researcher a plus
Looking for a candidate who has minimum 2years of experience in data analysis
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.
Key Responsibilities: • Develop new machine learning, deep learning (RNN or LSTM based) & ontology-based modeling algorithms to take up unsolved industry challenges • Lead and mentor a small team of data scientists in applying existing learning algorithms and develop new ones • Work on developing algorithms for multi-lingual support. • Cross-functional collaboration between data science and engineering teams to support the integration of finished algorithms and prototypes into products • Create an intellectual property for Innoplexus and write patent disclosures for them • Support sales and business development teams to fine-tune client requirements, perform feasibility testing and proposing an approach for solutions • Demonstrate thought leadership by participating in national & international conferences represent Innoplexus and publishing blogs, white papers etc. Required experience • More than 3 years of relevant experience in the industry • At least 1-year experience of leading a team • Strong, demonstrable experience developing new deep learning models (NLP, Neural Machine Translation, Speech Recognition) and machine learning over unstructured data • Hands on experience of deploying Machine Learning or Deep Learning based solutions in production with large datasets • Strong understanding of Python and Machine Learning libraries (NumPy, SciPy, sklearn, TensorFlow, PyTorch, Keras) • Good writing skills demonstrated by patents, publications, blogs or personal pages • Experience in the domain of life sciences or financial services is a plus.
The duration of this internship is ___6_ months.
Job Description – Data Scientist About Company Profile Precily is a startup headquartered in Noida, IN. Precily is currently working with leading consulting & law firms, research firms & technology companies. Aura (Precily AI) is data-analysis platform for enterprises that increase the efficiency of the workforce by providing AI-based solutions. Responsibilities & Skills Required: The role requires deep knowledge in designing, planning, testing and deploying analytics solutions including the following: • Natural Language Processing (NLP), Neural Networks , Text Clustering, Topic Modelling, Information Extraction, Information Retrieval, Deep learning, Machine learning, cognitive science and analytics. • Proven experience implementing and deploying advanced AI solutions using R/Python. • Apply machine learning algorithms, statistical data analysis, text clustering, summarization, extracting insights from multiple data points. • Excellent understanding of Analytics concepts and methodologies including machine learning (unsupervised and supervised). • Hand on in handling large amounts of structured and unstructured data. • Measure, interpret, and derive learning from results of analysis that will lead to improvements document processing. Skills Required: • Python, R, NLP, NLG, Machine Learning, Deep Learning & Neural Networks • Word Vectorizers • Word Embeddings ( word2vec & GloVe ) • RNN ( CNN vs RNN ) • LSTM & GRU ( LSTM vs GRU ) • Pretrained Embeddings ( Implementation in RNN ) • Unsupervised Learning • Supervised Learning • Deep Neural Networks • Framework : Keras/tensorflow • Keras Embedding Layer output Please reach out to us: email@example.com
Experience in Python / R , POSTGRE SQL and Data Modelling
It is my pleasure to introduce you to IDEAS2IT Technologies, Chennai. If you are looking for a challenging position as a BigData engineer solving complex business problems by applying the latest in Data Science, Machine Learning and AI read on. Ideas2IT is a high-end product engineering firm that rolls out its own products and also helps Silicon Valley firms with their product engineering. We are looking for above average programmers to be part of our Data Science Lab. You will be working on projects like An AI platform built using Google TensorFlow for a predictive hiring product. Betting odds platform that to match odds offered to leverage spreads PPO platform for predictive pricing and promotions for enterprise eCommerce. Part of your tool set will be Google TensorFlow, Python ML frameworks, Apache Spark, R, Google BigQuery, Scala / Octave, Kafka and so on. If you have any relevant experience great! If not, it doesn't matter. We believe in hiring people with high IQ and the right attitude over ready-made skills. As long as you are passionate about building world class enterprise products and understand whatever technology that you are working on in-depth, we will bring you up to speed on all the technologies we use. Oh BTW, did we mention that you need to be super smart? Sounds interesting? Ideas2IT is a high-end product firm. Started by an ex-Googler, Murali Vivekanandan, we count Siemens, Motorola, eBay, Microsoft and Zynga among our clients. We solve some very interesting problems in the USA startup ecosystem and have created great products in the process. When we build, we build great! We actively contribute to open source projects. We've built our own frameworks. We're betting the house on Big Data, and with a Stanford grad leading the team, we're sure to win. We have rolled 2 of our products as separate companies last year and raised institutional funds - Pipecandy, Idearx.
Preferred - Immediate candidate What do we expect from candidate 1) Candidate should have over 4 years of experience in software development, data management, visualization and data science 2) Should posses minimum 2 years of experience of data analytics model development and deployment 3) Strong interest in Mathematics/Statistics 4) Experience in BFSI will be preferred 5) Natural passion towards numbers, coding, data manipulation & visualization Necessary skill set: 1) Good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc. 2) Ability to choose the right model for the data and translate that into code in R, Python, (Proven capabilities in R / Python language) 3) Should have handled large datasets and good understanding of SQL
We are looking for smart summer interns in the field of server engineering, data science and machine learning. Requirement: In your chosen internship area, show us your projects and describe the hardest problems you faced and how you solved them. Internship duration: 2-3 months Type: Full time (in office). Remote not available. Stipend: 15K/month Location: Pune PPO: We would love to offer full time roles to outstanding performers
About the company: GyanDhan is India's first education loan marketplace. We’re on the mission to ensure that financial obstacles never stand in the way of someone’s education dream. By leveraging data science, we provide awesome education loan options to students pursuing higher studies. Launched in Apr 2016, we have already received a phenomenal response with over INR 150 crores in sanctions (as of Sep 2017)! We count Sundaram Finance as an investor. We have been featured in TOI, Eenadu, Malayala Manorama and several startup newsletters such as YourStory, VCCircle etc. Want to be a part of the fight against inequality in education? Join us! Job description: Reporting to the CEO, the senior software developer will be responsible for leading the efforts on product development for GyanDhan. We are on the lookout for a candidate who will be part of the leadership team at GyanDhan in the future. The ideal candidate is not afraid to get his hands dirty, and is equally comfortable leading a team of developers when needed. Responsibilities Build a truly online interface that reduces the frictions in the current loan application process Focus on customer experience, both for the borrower and the lender side of the platform Partner with the decision science lead to ensure seamless integration with data providers and lending partners Desired profile / qualities Full-stack development experience Self-starter: Someone who can can handle develop independently Passionate about problem solving, ability to see the big picture Realizes the value of 80-20 Good to have: Prior startup experience / experience in setting up a tech team Prior experience at a bank / fin-tech / non-banking financial player in a technical role Github projects that we can look at Regular participation on Codechef, Topcoder etc. ( If yes, please cite your rank and pass on a link to your profile! ) FYI, our Tech Stack comprises: Ruby on Rails, Postgres, AWS, jQuery ESOPs will be over and above the base salary.
3 or more years of experience in Python programming Good understanding of Object oriented programming concept. Should have working knowledge with flask and mongodb. At least 2 - 3years experience in Machine learning and NLP Proficient with machine learning and deep learning libraries like Pandas,Numpy,Scikit learn,Tensorflow, and Keras, Expertise into deep learning- neural networks would add advantages Proficient with Any Natural language processing library like NLTK or Spacy Hands-on technical experience of Artificial intelligence using open source programming languages and analytics software. Experience using data science techniques such as web scraping, text mining, natural language processing, machine learning, statistical modelling or image recognition Data visualisation skills, e.g. in Tableau or qlikview would add advantage.
Analytical Skills: Have to work with large amounts of data. You will need to see through the data and analyze it to find conclusions. Need maths skills to estimate numerical data. Communication Skills: You will need to write and speak clearly, easily communicating complex ideas. Critical Thinking: Must look at the numbers, trends, and data and come to new conclusions based on the findings. Attention to Detail: So be vigilant in the analysis to come to correct conclusions. Programming Skills: Should know python programming, R, Mysql, and Hadoop. Deep learning Skills: Should have worked on machine learning & deep learning.
Job Description Job Description Do you want to join an innovative team of scientists who use machine learning, NLP and statistical techniques to provide the best customer experience on the earth? Do you want to change the way that people work with customer experience? Our team wants to lead the technical innovations in these spaces and set the bar for every other company that exists. We love data, and we have lots of it. We're looking for business intelligence engineer to own end-to-end business problems and metrics which would have a direct impact on the bottom line of our business while improving customer experience. If you see how big data and cutting-edge technology can be used to improve customer experience, if you love to innovate, if you love to discover knowledge from big structured and unstructured data and if you deliver results, then we want you to be in our team. Major responsibilities Analyze and extract relevant information from large amounts of both structured and unstructured data to help automate and optimize key processes Design structured, multi-source data solutions to deliver the dashboards and reports that make data actionable Drive the collection of new data and the refinement of existing data sources to continually improve data quality Support data analysts and product managers by turning business requirements into functional specifications and then executing delivery Lead the technical lifecycle of data presentation from data sourcing to transforming into user-facing metrics Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Basic Qualifications Bachelors or Master’s Degree in Computer Science, Systems Analysis, or related field 3+ years’ experience in data modeling, ETL development, and Data Warehousing 3+ years’ experience with BI/DW/ETL projects. Strong background in data relationships, modeling, and mining Technical guru; SQL expert and God in one of these Python/ Spark/ Scala/ Tulia Strong communication and data presentation skills Strong problem solving ability Preferred Qualifications Experience working with large-scale data warehousing and analytics projects, including using AWS technologies – S3, EC2, Data-pipeline and other big data technologies. Distributed programming experience is highly recommended 2+ years of industry experience in predictive modeling and analysis Technically deep and business savvy enough to interface with all levels and disciplines within the organization.
Julien Innovations India Pvt Ltd is a start-up building products in NLP, Speech, RPA and Analytics. Our products have been commercialized and funded in Auto industry. At present we are looking to add hands particularly on speech modules. What we need is a) To work on Kaldi well b) AI, speech, NLP related programming skills in related technologies c) Sound basic knowledge of stat, math d) Prefer 2+ years industry experience in speech technologies e) High on learning ability, passion, integrity f) Start-up mentaility, values learning and achievement more than looking for a good job. What you get is - Tremendous learning opportunity - Work on innovative and fundamental speech, NLP, RPA analytics programs - Work with top clients directly - Fast paced work, open culture - ESOPS for deserving after a good work record
Selecting features, building and optimizing models using machine learning techniques Data mining using state-of-the-art methods Extending 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 Adopting new research methodologies including deep learning (CNNs LSTMs)on projects
Seeking a data expert in CogniCor Want to play around with data to come up with new methods to enhance our virtual agent ? Want to build a system as intelligent as you are? Want to be part of a team that’s working on creating the next level of AI? Want to be part of a company that holds 6 patents? Are you a person who enjoys analysing data and gets excited when you get interesting data relations. Join our Team. Job Responsibilities Develop new analytical methods and/or tools as required. Collaborate with unit managers, end users, development staff, and other stakeholders to integrate data mining results with existing systems. Respond to and resolve data mining performance issues. Monitor data mining system performance and implement efficiency improvements. Use analytics to drive key success metrics related to yield management and revenue generation. Data mining using state-of-the-art methods Extending 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 Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities Monitoring performance and advising any necessary infrastructure changes Defining data retention policies Data Visualization & Communication and Reporting Skills and Qualifications Unique blend of analytical, mathematical and technical skills. Must have good scripting and programming skills in Python, Java etc. Bachelor or Master’s Degree in applied statistics, data mining or relevant field. Experience with common data science toolkits, such as R, NumPy, etc Experience with data visualisation tools, such as D3.js, GGplot, etc. Proficiency in using Database query languages with NoSQL databases, such as MongoDB etc. Exposure to machine learning techniques 1-3 years of Experience in relevant field About CogniCor We are much sought after for our award winning AI Technology. We’ve been built on innovation, and we’ve implemented top-of-the-class Virtual Agents across various sectors in Asia, USA and Europe. We offer a start up environment that fosters thinking out of the box, and rewards initiative. Here, the sky is not the limit - your ambitions are. You’ll research top technologies, be exposed to AI technology implementation in real life, and interact with top minds in AI and NLP.
Join a growing team to build a product that uses data in imaginative ways
About the job: - You will architect, code and deploy ML models (from scratch) to predict credit risk. - You will design, run, and analyze A/B and multivariate tests to test hypotheses aimed at optimizing user experience and portfolio risk. - You will perform data exploration and build statistical models on user behavior to discover opportunities for decreasing user defaults. And you must truly be excited about this part. - You’ll use behavioral and social data to gain insights into how humans make financial choices - You will spend a lot of time in building out predictive features from super sparse data sources. - You’ll continually acquire new data sources to develop a rich dataset that characterizes risk. - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. About you: - You’ve strong computer science fundamentals - You’ve strong understanding of ML algorithms - Ideally, you have 2+ years of experience in using ML in industry environment - You know how to run tests and understand their results from a statistical perspective - You love freedom and hate being micromanaged. You own products end to end - You have a strong desire to learn and use the latest machine learning algorithms - It will be great if you have one of the following to share - a kaggle or a github profile - Degree in statistics/quant/engineering from Tier-1 institutes.
About Us:Paysense is Nexus and Jungle funded startup focussed on improving the financial lives of the indian consumer. In an exclusive partnership with India Infoline (IIFL ~$600 mn networth), we are reinventing credit and access to it for the next billion Indian consumers. Traditional banks and lending institutions in India are serving less than 5% of all credit requirements. Primary sources of data on consumer spend and credit behaviour either do not exist, or, are fundamentally broken. We saw this as a challenging opportunity to build out large scale credit system from scratch. Our team comprises of engineers, data scientists and product leaders from Stanford, IIT and UCLA; and we are looking for mission driven team mates who are ambitious, work hard, are super smart and yet humble. If this sounds like you, we’d love to have a chat.About the job:- Backend development at Paysense means writing web systems that receive and process millions of requests per minute. - You will write code that stores and analyzes large scale data in milliseconds: architect and develop data processing and warehouse systems- Develop internal and external platform that powers next generation of credit lending systems- Design tech to build graph/network connecting users- Write systems that are integrated with all leading banks, bureaus and financial institutions.About you:- 2+ years of experience with one of the following is must: Python/Java/nodeJS.- Strong experience with Postgres or another SQL RDBMS.- Working knowledge of AWS or other cloud service.- Experience working in finance domain is a plus.- Experience with Python, Django, or data science toolkits (pandas, scikit, sparkML) is a plus.- Strong CS fundamentals - algorithms, database and systems design.- Degree in CS/Maths from tier-1 engineering institutes.
• 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). • Programming experience in Python. • Knowledge of machine learning frameworks like Tensorflow. • Experience with software version control systems like Github. • Understands the concept of Big Data like Hadoop, MongoDB, Apache Spark
What will you do: • Develop ML based models for financial portfolios and Investment advisory • Designing, implementing and backtesting investment strategies • Analyze investment behavior for portfolio managers to prevent frauds and malpractices • Coordinate with engineering team to incorporate models in the platform. What are we looking for: • Bachelors or Masters or PhD in Maths, Statistics, Computers • 2 to 4 years of experience • Exposure to Financial markets • Familiarity with Python/R/SciKit/Tensorflow • Familiar with SQL and page scrapping & other data manipulation tools and packages. Who is this role for: • Are you looking for a great technical challenge to solve and looking to build a new product ground up? • Do you want to work closely with leading technology solutions in world of finance and on cutting edge technologies like Algo-trading, Blockchain, etc? • Do you want to build software that will be used by millions of people all around the World and plays in 4 exciting technology domains – Social, Mobile, Analytics and Cloud (SMAC)? • Do you want to work with a team with a proven track record in both Finance domain and in Technology/Product? • Beyond this, do you have the drive to go through the cycle that is natural to any startup and finally, make it big? If you are looking for all of these, then Kristal is the place for you!!! Perks: • Apple MacBook • Working with a team of passionate people just like you who love to build products For further information visit us at www.kristal.ai
Company Profile: Thrymr Software is an outsourced product development startup. Our primary development center is in Hyderabad, India with a team of about 100+ members across various technical roles. Thrymr is also in Singapore, Hamburg (Germany) and Amsterdam (Netherlands). Thrymr works with companies to take complete ownership of building their end to end products be it web or mobile applications or advanced analytics including GIS, machine learning or computer vision. http://thrymr.net Job Location Hyderabad, Financial District Job Description: As a Data Scientist, you will evaluate and improve products. You will collaborate with a multidisciplinary team of engineers and analysts on a wide range of problems. As a Data Scientist your responsibility will be (but not limited to) Design, benchmark and tune machine-learning algorithms,Painlessly and securely manipulate large and complex relational data sets, Assemble complex machine-learning strategies, Build new predictive apps and services Responsibilities: 1. Work with large, complex datasets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations. 2. Build and prototype analysis pipelines iteratively to provide insights at scale. Develop a comprehensive understanding of Google data structures and metrics, advocating for changes were needed for both products development and sales activity. 3. Interact cross-functionally with a wide variety of people and teams. Work closely with engineers to identify opportunities for, design, and assess improvements to various products. 4. Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information. 5. Research and develop analysis, forecasting, and optimization methods to improve the quality of uuser-facingproducts; example application areas include ads quality, search quality, end-user behavioral modeling, and live experiments. 6. Apart from the core data science work (subjected to projects and availability), you may also be required to contribute to regular software development work such as web, backend and mobile applications development. Our Expectations 1. You should have at least B.Tech/B.Sc degree or equivalent practical experience (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering). 2. You should have practical experience of working experience with statistical packages (e.g., R, Python, NumPy ) and databases (e.g., SQL). 3. You should have experience articulating business questions and using mathematical techniques to arrive at an answer using available data. Experience translating analysis results into business recommendations. 4. You should have strong analytical and research skills 5. You should have good academics 6. You will have to very proactive and submit your daily/weekly reports very diligently 7. You should be comfortable with working exceptionally hard as we are a startup and this is a high-performance work environment. 8. This is NOT a 9 to 5 kind of job, you should be able to work long hours. What you can expect 1. High-performance work culture 2. Short-term travel across the globe at very short notices 3. Accelerated learning (you will learn at least thrice as much compared to other companies in similar roles) and become a lot more technical 4. Happy go lucky team with zero politics 5. Zero tolerance for unprofessional behavior and substandard performance 6. Performance-based appraisals that can happen anytime with considerable hikes compared to single-digit annual hikes as the market standard
*Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions. *Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies. *Assess the effectiveness and accuracy of new data sources and data gathering techniques. *Develop custom data models and algorithms to apply to data sets. *Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Software Engineer – ML at Indix provides an opportunity to design and build systems that crunch large amounts of data everyday What We’re Looking For- 3+ years of experience Ability to propose hypothesis and design experiments in the context of specific problems. Should come from a strong engineering background Good overlap with Indix Data tech stack such as Hadoop, MapReduce, HDFS, Spark, Scalding, Scala/Python/C++ Dedication and diligence in understanding the application domain, collecting/cleaning data and conducting experiments. Creativity in model and algorithm development. An obsession to develop algorithms/models that directly impact business. Master’s/Phd. in Computer Science/Statistics is a plus Job Expectations Experience working in text mining and python libraries like scikit-learn, numpy, etc Collect relevant data from production systems/Use crawling and parsing infrastructure to put together data sets. Survey academic literature and identify potential approaches for exploration. Craft, conduct and analyze experiments to evaluate models/algorithms. Communicate findings and take algorithms/models to production with end to end ownership.
JOB DESCRIPTION We're looking for Head, Machine learning (3+ years experience) for our company - Spotmentor Technologies. Right now our Technology team has 5 members and this is a head team member role and carries significant equity with it. We need someone who can lead the Machine learning function with both vision and hands-on work and is excited to use this area to develop B2B products for enterprise productivity. RESPONSIBILITIES • Collaborate with cross-functional team members to develop software libraries, tools, and methodologies as critical components of our computation platforms. • Also responsible for software profiling, performance tuning and analysis, and other general software engineering tasks. • Use independent judgment to take existing code, understand its function, and change/enhance as needed. • Work as a team leader rather than a member. REQUIREMENTS • Proficient in Python with sound knowledge in the machine learning libraries namely Scikit-learn, Numpy, Pandas, NLTK etc. • Experience with Deep Learning tools like TensorFlow, Keras, PyTorch etc and integrating using open source learning platforms is required. • Prior experience in building a fully functional Machine Learning Algorithm in the text analysis and multi-class classification with promising results. • Expert data scientist with professionalism in text classification, text analytics, regression and other machine learning algorithms. • Solid grasp of mathematical principles behind machine learning algorithms. • Proficient in using version control tools (Git, Mercurial etc). • Prior experience of using big data technologies like Hadoop, Spark etc. • Semantic Web experience is a big plus. • Should be from tier 1 colleges (IIT’s / NIT’s and BITS).
JD: Responsibilities: $ Detailed qualitative and quantitative assessment of Social Media Data $ Prepare detailed report with matrices and findings $ Using the proprietary Platform in conjunction with other tools to create various Ad-hoc reports $ Creating Report Dashboards using Excel, SQL, Powerpoint Skills required: $ Experience with Advanced Excel and PowerPoint $ Adept at writing complex SQL queries $ Understand the social and web metrics, and its application in the Digital Marketing universe $ Good analytical skill, data analysis and reporting $ Highly organized, details orientated and good coordination skill $ Strong verbal, written and presentation skills [Experience with Real-life unstructured data, Data Analysis & Visualization Tools (Python/R etc) would be an added advantage]
We're looking for Senior NLP Engineer (2+ years experience) for our company - Spotmentor Technologies. Right now our Technology team has 5 members and this role is for early team member and carries significant ESOPs with it. We need someone who can lead the NLP function with both vision and hands-on work and is excited to use this area to develop B2B products for enterprise productivity.RESPONSIBILITIES----------------------- • Collaborate with cross-functional team members to develop software libraries, tools, and methodologies as critical components of our computation platforms. • Use independent judgment to take existing code, understand its function, and change/enhance as needed. • Work as a team leader rather than a member. • Capable of adding valuable inputs to existing algorithms by reading NLP research papers.REQUIREMENTS-------------------- • Proficient in Python with sound knowledge in the data science libraries namely Numpy, Pandas, NLTK / spaCy etc. • Prior experience in building a fully functional NLP based Machine Learning Model with good results (NER/Classification/Topic Modeling). • Expert data scientist with professionalism in text classification, feature engineering, using embeddings, pos etc. • Knowledge of writing database queries (SQL/NoSQL). • Some background in information retrieval systems is a big plus.
The Candidate should be have: - good understanding of Statistical concepts - worked on Data Analysis and Model building for 1 year - ability to implement Data warehouse and Visualisation tools (IBM, Amazon or Tableau) - use of ETL tools - understanding of scoring models The candidate will be required: - to build models for approval or rejection of loans - build various reports (standard for monthly reporting) to optimise business - implement datawarehosue The candidate should be self-starter as well as work without supervision. You will be the 1st and only employee for this role for the next 6 months.
We're an early stage film-tech startup with a mission to empower filmmakers and independent content creators with data-driven decision-making tools. We're looking for a data person to join the core team. Please get in touch if you would be excited to join us on this super exciting journey of disrupting the film production and distribution business. We are currently collaborating with Rana Daggubatt's Suresh Productions, and work out of their studio in Hyderabad - so exposure and opportunities to work on real issues faced by the media industry will be in plenty.
We are looking for a driven and passionate machine learning engineer with a strong empathy for our users (students and teachers). Key responsibilities - Decide what data are needed to answer specific questions, and determine appropriate methods for finding and collecting this data. - Design experiments to validate collected data and analyse, interpret and discover patterns in this data. - Interact cross-functionally with a wide variety of people including students, teachers and engineers. Requirements - Feel a personal stake in the product. - Strong attention to detail and excellent analytical capabilities. - Experience in designing and implementing various machine learning models. - Deep understanding of core Machine Learning concepts.
Description Must have Direct Hands- on, 4 years of experience, building complex Data Science solutions Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling, using Python / R Experience should include the following, File I/ O, Data Harmonization, Data Exploration Machine Learning Techniques (Supervised, Unsupervised) Multi- Dimensional Array Processing Deep Learning NLP, Image Processing Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have excellent written and verbal communication skills Should be a team player with open mind
Description Does solving complex business problems and real world challenges interest you Do you enjoy seeing the impact your contributions make on a daily basis Are you passionate about using data analytics to provide game changing solutions to the Global 2000 clients Do you thrive in a dynamic work environment that constantly pushes you to be the best you can be and more Are you ready to work with smart colleagues who drive for excellence in everything they do If you possess a solutions mindset, strong analytical skills, and commitment to be part of a tremendous journey, come join our growing, global team. See what Saama can do for your career and for your journey. Position: Data Scientist (2255) Location: Hinjewadi Phase 1, Pune Type: Permanent Full time Responsibilities: Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client s business and develop methods to leverage that knowledge for their business. Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management. Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/ or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Provide input for engineering and product teams as they develop and support our internal data platform to support ongoing statistical analyses. Requirements: Candidates should demonstrate following expertize- Must have Direct Hands-on, 7 years of experience, building complex systems using any Statistical Programming Language (R / Python / SAS) Must have fundamental knowledge of Inferential Statistics Should have worked on Predictive Modelling Experience should include the following, o File I/ O, Data Harmonization, Data Exploration o Multi-Dimensional Array Processing o Simulation & Optimization Techinques o Machine Learning Techniques (Supervised, Unsupervised) o Artificial Intelligence and Deep Learning o Natural Language Processing o Model Ensembling Techniques o Documenting Reproducible Research o Building Interactive Applications to demonstrate Data Science Use Cases Prior experience in Healthcare Domain, is a plus Experience using Big Data, is a plus. Exposure to SPARK is desirable Should have Excellent Analytical, Problem Solving ability. Should be able to grasp new concepts quickly Should be well familiar with Agile Project Management Methodology Should have experience of managing multiple simultaneous projects Should have played a team lead role Should have excellent written and verbal communication skills Should be a team player with open mind Impact on the business: Plays an important role in making Saama s Solutions game changers for our strategic partners by using data science to solve core, complex business challenges. Key relationships: Sales & pre-sales Product management Engineering Client organization: account management & delivery Saama Competencies: INTEGRITY: we do the right things. INNOVATION: we change the game. TRANSPARENCY: we communicate openly COLLABORATION: we work as one team PROBLEM-SOLVING: we solve core, complex business challenges ENJOY & CELEBRATE: we have fun Competencies: Self-starter who gets results with minimal support and direction in a fast-paced environment. Takes initiative; challenges the status quo to drive change. Learns quickly; takes smart risks to experiment and learn. Works well with others; builds trust and maintains credibility. Planful: identifies and confirms key requirements in dynamic environments; anticipates tasks and contingencies. Communicates effectively; productive communication with clients and all key stakeholders communication in both verbal and written communication. Stays the course despite challenges & setbacks. Works well under pressure. Strong analytical skills; able to apply inductive and deductive thinking to generate solutions for complex problems