Shoptalk is seeking a highly analytical Data Scientist to join our Flex Pay BNPL team in San Francisco on a hybrid schedule (Wednesdays and Thursdays). You will build predictive models for credit risk and pricing, analyze large datasets with Python and SQL, and collaborate across risk, product, and engineering to drive decisions. Candidates typically hold an MS or PhD in a quantitative field and have 3–5+ years of experience with ML techniques such as random forests or gradient boosting.

Also on the board Same function, level within a rung

Level

Senior

Location

Millbrae, CA

Occupation

Data Scientists

Industry

Consumer Lending

Posted

yesterday

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