Senior Data Scientist

Ripple Ripple · Fintech · San Francisco, CA +1 · Engineering

Senior Data Scientist at Ripple focused on product analytics and data science research for On-Demand Liquidity and Direct payment products. Responsibilities include collecting data, developing analytics initiatives, understanding product functionality and business activity, defining key metrics, and designing dashboards. Requires experience with SQL, Git, statistical modeling, BI tools, and the fintech/payments industry.

What you'd actually do

  1. Identify and collect key data to support data science research across Ripple.
  2. Develop and lead product analytics initiatives for On-Demand Liquidity and Direct payment products, partnering closely with Product, Marketing, Business Development, and other business units.
  3. Build a deep understanding of the end-to-end functionality of RippleNet and end-to-end business activity driving product growth covering customer targeting, acquisition, and product usage.
  4. Define and supervise key product metrics, and design interactive dashboards using Tableau and other analytical tools.

Skills

Required

  • SQL
  • Git
  • Metrics definition and tracking
  • Statistical modeling (Python or R)
  • BI tools including Tableau, Looker, or Mode
  • Fintech or payments industries

What the JD emphasized

  • Fintech or payments industries, including developing analytics pipelines for on-demand liquidity.