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Bengaluru, Karnataka, IndiaIntuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* – all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.*Banking services provided by MVB Bank, Inc., Member FDICCredit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members in the U.S., Canada and U.K. While we're best known for pioneering free credit scores, our members turn to us for tips as they work on their financial goals, including helping them monitor their credit, identity monitoring, searching for credit cards, shopping for loans (car, home and personal), and growing their savings* -- all for free. Credit Karma has grown significantly through the years: we've added more than 70 million members in the last five years alone and now have more than 1,100 employees across our offices in Oakland, Charlotte, Los Angeles and London. *Banking services provided by MVB Bank, Inc., Member FDICWe are looking for innovative and hands-on Senior Data Scientists to join our effort for helping our members to achieve their financial goals with most relevant financial products and actionable financial recommendationsWhat You’ll Do:Partner with colleagues throughout the organization to identify high-impact opportunities to leverage our extensive data to better serve our usersResponsible for accelerating revenue advancement through disruptive and continuous improvements in various data science models (targeting, approval odds, marketing campaigns, etc.), feature engineering including user profiles and behavior, personalization, etc.Be a strong contributor in our industry-first data science / machine learning platform for financial institutions, to enable certainty of approval for 100+ million consumers!Participate research efforts with other team members to explore the frontiers of Deep Learning, Recommender systems, and other areas, as they apply to Personal FinanceRepresent Data Science in cross functional meetings and reviews. Be able to translate difficult technical subject matter to business partnersRepresent Credit Karma in external forums such as conferences and meetups, and act as an evangelist for CK team in such forumsWhat’s great about the role:You will work with large scale Machine Learning Models to optimize for Personal Finance ProductsYou will be part of a highly impactful team, who are working on large scale projects that directly impact the business and membersYou will experience both personal and professional growth as you encourage growth throughout the teamMinimum Basic Requirement:MS in Computer Science, Mathematics, Statistics, Physics or a related quantitative discipline7+ years of experience in Data Science, Machine Learning and related areas, ideally in hyper-growth consumer Internet scenariosDeep statistical understanding of data at scaleAuthoritative knowledge of Python/R and SQLExperience with advanced modeling techniques, such as collaborative filtering, matrix factorization, time series analysis, mixed-effect models, etcPreferred Qualifications: Ph.D. in Computer Science, Mathematics, Statistics, Physics or a related quantitative disciplineProficiency in deep learning ML frameworks such as TensorFlow, Torch, etcExperience with Finance data (credit record data, loan underwriting)Ambitious, results oriented, hardworking and creative thinkerExperience with techniques in Deep Learning, advanced Recommendations Systems, Search Ranking, and experimentation design and analysisExperience with optimizing business outcomes in hyper-growth Internet companies (predictive science, ad yield management, marketplaces, etc)