Data Scientist

• Produces standard and ad hoc analytic reports.
• Assists with developing, testing, and documenting open-source codes for data analysis and modeling.
• Performs data analysis tasks, which include programming data transformations, interpreting results and investigating root causes.
• Participates in the creation of Internal model validation procedures, supporting external Model Validations, and performing regular model validation as part of the Model Risk Management program.
• Explore and aggregate data independently to uncover data anomalies that impact algorithm performance.
• End to end feature engineering - brainstorm, create, validate, down-select, etc.
• Write production level code in a dynamic, fast paced environment.
• Apply a variety of machine learning techniques to a business problem to arrive at optimal approach.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Partnering with Sales and Products to perform Customer Value tests to support the company’s business development efforts for current and future Models.
• Explain and visualize results and algorithm performance to non-technical audiences.
• Support the company's commitment to protect the integrity and confidentiality of systems and data.

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