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Senior Data Scientist

SoFi

Salary not specified
Sep 5, 2025
San Francisco, CA, US • New York, NY, US
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SoFi is seeking a full stack Senior Data Scientist to help shape business strategy and product development decisions through data-driven insights for SoFi’s financial services products, aiming to directly impact product strategy and revenue.

Requirements

  • Strong programming skills in SQL, Python and proficiency in Tableau
  • Experience with experimentation and hypothesis testing
  • Intellectual curiosity and aptitude to pick up new technical skills
  • Familiarity & interest in Generative AI systems, including RAG and LLMs

Responsibilities

  • Work with amazing product and business managers to identify strategic opportunities, measure KPIs to craft compelling stories, make data-driven recommendations, and drive informed actions.
  • Own end-to-end product analytics workflow including formulating success metrics, socializing them across the organization, and creating dashboards/reports.
  • Act as a curator of data by defining, instrumenting, and tracking necessary analytics of our products by working cross functionally with engineering and product teams.
  • Craft, analyze, and present customer behavior metrics, such as funnel conversion, user churn, features engagement, product LTV, and cross-sell metrics. Work with product and marketing partners to design tests to improve these metrics.
  • Working with seasoned business leaders to understand revenue, costs and profitability across various revenue streams.
  • Analyze and perform statistical analysis on data that underlies our product experiments.
  • Build exploratory & predictive models to help decision makers understand customer behaviors and segmentation

Other

  • 4+ years of relevant work experience
  • Exceptional problem-solving skills
  • High EQ with ability to influence outcomes and communicate technical content to general audiences
  • Ability to initiate and drive projects to completion with minimal guidance
  • Ability to communicate assertively and succinctly therefore being able to influence stakeholders to make data driven decisions.
  • Experience in a financial organization
  • Experience in working with growth-focused products