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Salary: USD 172,000 - 215,000 / annual
Ripple is building financial infrastructure for a world where value moves like information. The company provides crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system.
You will serve as a Senior Data Scientist driving analytics across Ripple's product and business portfolio. In this role, you'll partner with product and business leads to frame critical questions, bring scientific rigor to analysis, and ensure decisions rest on consistent, thorough foundations. You'll take on ambiguous, high-impact problems, build reusable analyses and tooling, and raise the analytical bar across teams.
Key responsibilities include:
- Serve as the data science lead for one or more product or business areas (Payments, Stablecoin, or Custody), applying strong methodology to the hardest analytical problems in your domain
- Partner with product and business leads to shape roadmap decisions: prioritization, success metrics, and measurement approaches
- Build scientific frameworks teams rely on: product and network health metrics, causal inference approaches, and forecasting across institutional and developer surfaces
- Apply AI to accelerate analytics—using LLMs and agentic workflows to scale insight generation, automate routine analysis, and make data more self-serve for non-data-science partners
- Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing causal drivers behind adoption and volume
- Define and communicate metrics leadership runs on, translating complex results into clear narratives for senior stakeholders
- Raise the bar for the data science function through mentorship and modeling strong analytical practice
The company offers a hybrid work environment with flexibility—10+ days per month in-office collaboration, with managers and teams deciding their schedule. Culture emphasizes fast-paced startup environment, professional development, and inclusive teamwork.
REQUIREMENTS:
- 7+ years in data science or quantitative analysis, with a track record of measurable impact on product and business decisions
- Experience as the data science partner to cross-functional teams, shaping roadmaps and helping leaders make better-informed decisions
- Track record designing analytics and measurement frameworks that other teams adopt and build on
- Hands-on experience applying AI to accelerate analytics workflows—agentic analysis, AI-assisted insight generation, natural-language data interfaces
- Strong expertise in experimentation, causal inference, forecasting, and statistical modeling
- Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks)
- Experience with FinTech, payments, crypto, or blockchain data is a strong plus
- Advanced degree (MS, PhD) in a quantitative field preferred
- Excellent communication skills—able to translate technical depth into clear narratives for senior stakeholders
