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Specialist at Maven Workforce
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Data Scientist - Analytics/Machine Learning - NBFC (5-10 yrs)
Hiring for our client (NBFC) for the profile in Analytics/ Data Science/ Machine Learning for Pune location.
- CANDIDATES SHOULD BE FLEXIBLE FOR 6 DAYS WORKING
Duties and Responsibilities :
- Drive data-backed decisions for customer wrt products, processes, offer strategies, channel selection, timing etc. 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 usecases 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 the wallet, creating solutions to match marketing content to customers through various tags
- Create metrics to evaluate the 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 :
- Strong 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
- Experience in managing other team members in a formal or informal capacity
- Experience doing quantitative analysis
- Experience initiating and driving projects to completion with minimal guidance
- Experience communicating the results of the analysis
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.
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