Senior Data Scientist, Borrow

SoFi SoFi · Fintech · San Francisco, CA · Data Science

Senior Data Scientist at SoFi's Borrow team focused on driving growth in Lending businesses by transforming data into insights. The role involves acting as a strategic partner, analytical storyteller, and leading cross-functional initiatives. Key responsibilities include driving proactive insights, championing AI productivity by implementing AI tools for data engineering and analysis, translating complex data into business narratives, optimizing product decisions, building scalable reporting pipelines, ensuring KPI consistency, and mentoring peers. Requires strong SQL, Python, dbt, Airflow, and data visualization skills, with experience in finance or tech.

What you'd actually do

  1. Use your curiosity to dig deep into data, identifying trends and opportunities that others might miss, and proactively presenting these findings to leadership.
  2. Act as a pioneer for AI integration within the team. Identify and implement AI tools and workflows that streamline data engineering tasks, accelerate analysis, and drive outsized business impact.
  3. Translate complex quantitative analyses into simple, persuasive narratives that enable business leaders to make informed, high-stakes decisions.
  4. Partner with cross-functional teams to lead the optimization of core product decisions, including funnel conversion, experimentation, and unit economics.
  5. Design and maintain scalable reporting pipelines in Snowflake using dbt and Airflow, ensuring business logic is efficiently encapsulated for company-wide use.

Skills

Required

  • SQL
  • Python
  • dbt
  • Airflow
  • Snowflake
  • Data Visualization
  • Tableau
  • Communication skills
  • Influence stakeholders
  • Lead projects

Nice to have

  • Finance or Tech experience
  • Mentoring peers

What the JD emphasized

  • AI integration within the team
  • implement AI tools and workflows

Other signals

  • AI integration within the team
  • Implement AI tools and workflows
  • Streamline data engineering tasks
  • Accelerate analysis
  • Drive outsized business impact