(Senior) Data Scientist Job Description 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! Read more on Become a DataWeaver 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. 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, 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.
Lead Data Scientist in a Fantasy sports company You will be working for India's fastest growing fantasy sports app, to analyze and enhance user behavior, pre-empt and prevent user drop offs, and provide strategic guidance on user behavior to Product and Retention teams. Responsibilities: 1. Analyze millions of transactions to find patterns in user spends, segment them and improve conversions 2. Design experiments in consultation with Product team, test hypotheses, build models, drive control groups and scale 3. Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance for re-engagement activities 4. Work with various stakeholders to identify their processes, and provide feedback to analyze their efficacy 5. Provide data based recommendations for new app features and modifications of existing flows and paradigms 6. Designing and developing new ML, analytical or AI algorithms for increasing 7. Lead the ownership of data and insights, and take a lead in formulating strategic initiatives Qualifications: 1. 3-5 experience working in Data Science department of a B2C company or an Analytics firm or an Analytics Consulting firm 2. Understanding of statistical modeling (Regression, Clustering, Decision trees), machine learning, algorithms, data mining concepts, and a track record of solving problems with these methods 3. Experience with Deep Learning, SVM, k-nearest neighbors, Random Forests, Ensemble Methods, Logistic Regression, Probability Theory, Bayesian/Markov networks etc. 4. Demonstrated programming skills in relevant languages, including R, Python, SQL 5. Demonstrated analytical ability, knack in figuring out patterns in raw data and good problem-solving skills 6. Great people skills, ability to work across teams, get stakeholders on board in implementing changes 7. Strong interest in Mathematics, Probability Theory, Statistics, Machine Learning and ability to apply math in real world applications
About Zort: Zort is a young company which is on a mission to make every smartphone user more productive and successful in their lives. Currently, we are a smart SMS inbox assistant with a bunch of productivity tools around it to keep our users on top of all things important to them. About the role: This is a full-time paid internship based out of the company's office in Bangalore. Kindly do not apply if you are looking for a remote or part-time internship. Responsibilities: -Work closely with the Product team to understand work requirements -Work closely with the Engineering team to scale the backend capabilities -Leverage the rich datasets to make current smart features better and/or build new smart features -Support the research, data collection, data cleaning, development and testing/QA activities Qualifications: -BE in Computer Science or a related field; recent graduate or currently pursuing it -Keen interest in Machine Learning, Statistical Analysis and Data Mining; application of concepts in projects preferred -Hands-on experience with Python-based Machine Learning libraries or other open source kits and libraries -Hands-on experience with JSON, XML, CSV and Excel -Good understanding of the cloud and client-server communication; hands-on experience with REST APIs or Open Source APIs preferred Stipend: INR 8000 TO INR 12000/- per month
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