Role & responsibilities :
Manage a team of data scientists through predictive models and analytical exercises to deliver business value, innovative approaches and quality execution.
Design, Develop and Deploy advanced machine learning and Artificial Intelligence algorithms/predictive models for use in Underwriting, Customer Management, Marketing, and Operations;
Functional lead and point of contact with business partners to support the needs and goals of all Elevate portfolios, Rock teams, and Pods.
Assess, clean, merge, and analyze large datasets adhering to standardized data manipulation techniques and methodology by leveraging Python, Spark, Snowflakes, etc.
Design, Develop and Deploy linear, nonlinear, and other ML algorithms for testing, development and deployment into our underwriting engine in the application of risk management in all of Elevates acquisition channels;
Efficiently apply data mining methodologies to minimize credit/fraud losses, maximize response and approval rates, and develop methods to enhance profitability of Elevate products; Successfully implement scoring models on multiple decision platforms Including cloud.
Provide knowledge, insight and guidance of third party data providers such as Transunion, Clarity/Experian and Equifax to include knowledge of products and data available, products to purchase or discontinue, cost benefit analysis of retrospective analysis, effective use of variables, data dictionaries as well as advantages and limitations;
Maintain clear, detailed model documentation on our Wiki Server by leveraging reproducible research technologies such as Jupyter Notebook, Rmarkdown, etc.;
Preferred candidate profile :
Masters degree in highly quantitative field (Statistics, Economics, Mathematics, Engineering, or other quantitatively-oriented degree). Ph.D. preferred.
Perks and benefits
Providing two way cab.
Keyskills: Big Data Machine Learning Snowflake Spark Python