Senior Data Scientist Job in Gennext India Private Limited

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