Senior Data Scientist Job in Gennext India Private Limited

Senior Data Scientist

Gennext India Private Limited 4+ weeks ago

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Job Summary

Roles and Responsibilities

This role will give you endless opportunities to take on new responsibilities, learn new skills, and mentor others. Your teammates/colleagues will be distributed in NY, VA and Chennai.
Build predictive models including but not limited to credit risk. fraud, response, and offer acceptance propensity.
Perform through testing and validation of models and support various aspects of the business with data analytics.
Identify new data sources/patterns that add significant lift to predictive modeling capabilities.
Research, design, implement and validate cutting-edge algorithms/models to analyze diverse sources of data to achieve targeted outcomes.
Conduct analysis and turn insights into actionable changes for predictive models or policies Recommend ongoing improvements / tuning to methods and algorithms currently in use/production.
Deliver informative and effective findings, results and recommendations from statistical analysis to stakeholders, both technical and non-technical audiences.
Effectively mentor non-statistical programming peers about statistical programming practices.

Desired Candidate Profile

About You: You are an internally motivated PM expert. Predictive Modeling and penchant for numbers are firmly rooted in the way you think and work. Passion for your craft will go a long way in making you successful in this role. You have
Advanced degree in Statistics, Survey Research, Economics or other related quantitative field
4 years of experience with Statistics/data modeling in an applied context
Proven track record of building new models and improving existing models
Strong attention to detail; excellent communication and project management skills
Thorough understanding of statistical modeling techniques
Proficiency in: Python and R
Exploratory data analysis and visualization
Experience with marketing mix modeling, digital attribution modeling, multivariate regression, time-series modeling, Bayesian statistics, segmentation modeling, machine learning, data mining, simulation, optimization, forecasting
Portfolio include papers, visualizations, or