Data Scientist, Finance

Whatnot · Consumer · Los Angeles, CA · Engineering

Data Scientist role focused on finance functions, including accounting, tax, profitability, and business drivers. Responsibilities include building data products, dashboards, and KPIs, collaborating on data engineering, and analyzing cross-functional initiatives to improve contribution margin. Requires expertise in data engineering, analytics engineering, SQL, and BI tools, with a background in finance or fintech.

What you'd actually do

  1. Partner across the business to find improvements/opportunities and influence decisions using data analytics methodologies and tools.
  2. Act as the data owner for Finance functions, including but not limited to accounting, tax, strategic finance, profitability, and the executive office.
  3. Build production-quality data products, dashboards, notebooks, and actionable KPIs to convey critical financial insights.
  4. Drive incremental improvements in contribution margin by deeply understanding business drivers and analyzing cross-functional initiatives.
  5. Collaborate on data and analytics engineering work to ensure financial datasets are enriched, reliable, and scalable.

Skills

Required

  • SQL
  • Data Engineering
  • Analytics Engineering
  • Business Intelligence Tools
  • Data Visualization

Nice to have

  • D3
  • React
  • Web app development

What the JD emphasized

  • finance should not be a new concept to you
  • data storage and architecture should not be a new concept to you
  • Expert-level SQL skills