Position Summary This position would be responsible for interaction with the Product teams and drive data related deliveries for applying the right ML Models and Analytical solutions. This role is required to supervise & guide project teams working on different projects simultaneously Duties and Responsibilities: - Drive data backed decisioning for customer wrt products, processes, offer strategies, channel selection, timing etc. - Deploy ML / Deep learning methodologies for feature engineering - Create and fill existing variables through model variable inference methodologies - Create methodologies to utilize sparse data to predict known use cases for marketing and risk - Establish relationships between customer information, events etc. to trigger marketing, risk use cases Examples of use cases to create capabilities for: - Create and manage complex inferred variables - like share of wallet, size of wallet, propensity to buy (when, where, how), propensity to repay etc. - Create solutions based on Geo data - negative area marking, household score - Create solutions for managing marketing properties on wallet, creating solutions to match marketing content to customers through various tags - Create metrics to evaluate performance of the solutions created, enhance capabilities to better performance metrics - Own execution and availability of solutions to teams for retrospective analysis, transaction recommendation / approval management Minimum Qualifications: - 6+ years of experience building sparse data models: Neural Network / Deep Learning / Bayesian Networks / Monte Carlo Markov Chain / SVM / GBM / Lookalike models / Feature engineering - Passionate about extracting value out of data by creating new variables, understanding base variable relationships - 6+ years of experience in managing other team members in a formal or informal capacity - 4+ years of experience doing quantitative analysis - Experience initiating and driving projects to completion with minimal guidance - Experience communicating the results of analysis Preferred Qualifications: - Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field - Understanding of statistical analysis, experience with packages, such as R, MATLAB, SPSS, SAS, Stata, etc. - Experience with large data sets and distributed computing (Hive/Hadoop) - Minimum 4+ years of industrial experience in implementing | managing very large data platforms Like Data Lake &amp; Enterprise Data Warehouse

Pune

Lead/Senior Lead - Machine Learning - BFS 

Lead/Senior Lead - Machine Learning - BFS  ,Job Description for Lead/Senior Lead - Machine Learning - BFS  in Black Turtle in  Pune for (7-18) years of experience. Apply Now!

Job Description for Lead/Senior Lead - Machine Learning - BFS  in Black Turtle in  Pune for (7-18) years of experience. Apply Now!