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Data Science Manager

2 months ago

Addison, Texas, United States Elevate Credit Service, LLC Full time
Job Description

About the Role

Elevate Credit Service, LLC is seeking a highly skilled Data Science Manager to join our team. As a key member of our Data Science team, you will play a critical role in driving business growth, controlling risk, and ensuring operations excellence.

Key Responsibilities

  • Team Leadership: Manage a team of data scientists through predictive models and analytical exercises to deliver business value, innovative approaches, and quality execution.
  • Model Development: Design, develop, and deploy advanced machine learning and Artificial Intelligence algorithms/predictive models for use in Underwriting, Customer Management, Marketing, and Operations.
  • Business Partnership: Function as a lead and point of contact with business partners to support the needs and goals of all Elevate portfolios, Rock teams, and Pods.
  • Data Analysis: Assess, clean, merge, and analyze large datasets adhering to standardized data manipulation techniques and methodology by leveraging Python, Spark, Snowflakes, etc.
  • Model Deployment: 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 Elevate's acquisition channels.
  • Data Mining: Efficiently apply data mining methodologies to minimize credit/fraud losses, maximize response and approval rates, and develop methods to enhance profitability of Elevate products.
  • Scoring Models: Successfully implement scoring models on multiple decision platforms, including cloud.
  • Third-Party Data Providers: Provide knowledge, insight, and guidance of third-party data providers such as Transunion, Clarity/Experian, and Equifax, including 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.
  • Model Documentation: Maintain clear, detailed model documentation on our Wiki Server by leveraging reproducible research technologies such as Jupyter Notebook, Rmarkdown, etc.

Requirements

  • Education: Master's degree in a highly quantitative field (Statistics, Economics, Mathematics, Engineering, or other quantitatively-oriented degree). Ph.D. preferred.
  • Experience: At least six years of experience in Data Science or Modeling for consumer lending, two years of leadership experience in highly quantitative teams; Professional experience waived with at least four years of Data Science or Modeling experience and Ph.D. Degree in highly quantitative field (Statistics, Economics, Mathematics, or other quantitatively-oriented degree).
  • Skills: Superior communication skills for communication with Risk Management peers and executive team; Proven experience working in a fast-paced environment with ever-changing demands; Demonstrated proficiency with advanced statistical modeling and substantial experience with machine learning techniques (e.g., Random Forest, Gradient Boosting, LASSO, Elastic Net, etc.); Knowledge of various penalized regression and classification methods a plus; Strong data skills, with ability to conduct substantial data munging/engineering.
  • Technical Skills: Proficiency with Linux, R, Python, or Java; expertise with versioning software (e.g., Git), big data solutions, and data processing frameworks (e.g., Spark, Hadoop); Experience with database technologies such as Snowflakes, Hadoop, Apache Hive/Impala, Spark, NoSQL, JSON & XML parsing, etc.
  • Additional Requirements: Proficiency of contemporary supervised and unsupervised data mining techniques a plus.

Company Information

Elevate Credit Service, LLC is a technology firm that develops next-generation financial products focused on managing life's everyday expenses.