Data Scientist II - Join Elevate's Innovative Data Science Team

Company: Elevate

Job Title: Data Scientist II

General Summary

Elevate is a leading technology firm dedicated to developing next-generation financial products that help manage everyday expenses. Our dynamic Data Science team is at the heart of this mission, conceptualizing, developing, deploying, and maintaining predictive models using cutting-edge statistical and machine learning methods. These models support our Underwriting, Account Management, and Operations applications. Additionally, the team contributes to complex analyses that drive critical business decisions within the organization. The Data Scientist II role emphasizes technical expertise and innovative thinking.

Principal Duties and Responsibilities

• Design, develop, and deploy advanced machine learning models for Underwriting, Customer Management, Marketing, and Operations.
• Assess, clean, merge, and analyze large datasets using standardized data manipulation techniques and methodologies leveraging tools such as Python, R, and Snowflake in Elevate’s Cloud Environment.
• Demonstrate proficiency with multiple linear, nonlinear, and other ML algorithms for testing, development, and deployment into Elevate's underwriting engine, particularly for risk management across all acquisition channels.
• Apply data mining methodologies effectively to minimize credit/fraud losses, maximize response and approval rates, and enhance the profitability of Elevate products.
• Assist in the implementation of scoring models on various decision platforms, including cloud-based systems.
• Provide insights on third-party data providers such as TransUnion, Clarity/Experian, and Equifax, including product knowledge, effective use of variables, data dictionaries, and understanding their advantages and limitations.
• Maintain clear and detailed model documentation on our Wiki Server using reproducible research technologies like Jupyter Notebook and Rmarkdown.
• Collaborate with business partners to support the needs and goals of all Elevate portfolios, Rock teams, and Pods.

Experience and Education

• Minimum M.S./M.A. in a highly quantitative field (e.g., Computer Science, Statistics, Economics, Mathematics, Business) required. A Doctoral Degree is a plus.
• At least two years of experience in Data Science, Risk, or Modeling for consumer lending; professional experience may be waived with a Ph.D. in a highly quantitative field.
• Demonstrated proficiency with advanced statistical modeling and extensive experience with machine learning techniques (e.g., Random Forest, Gradient Boosting, LASSO, Elastic Net).
• Proficiency with Python is required.
• Experience with extracting and manipulating data using multiple database technologies such as Snowflake.
• Excellent communication skills for effective collaboration with Risk Management peers.
• Experience in financial services and/or Credit Risk Management or target marketing is preferred.
• Knowledge of contemporary supervised and unsupervised data mining techniques is a plus.

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