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Salary: USD 164,000 - 205,000 / 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 analytical questions, bring rigor to how they're answered, and ensure decisions rest on a consistent, thorough foundation.
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 tackle the hardest analytical problems in your domain.
- Partner with product and business leads to shape roadmap decisions: which initiatives to prioritize, what success looks like, and how to measure it.
- Build scientific frameworks your teams rely on: product and network health metrics, causal inference approaches, and forecasting that holds up 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 the causal drivers behind adoption and volume.
- Define and communicate the metrics your teams and leadership run on, translating complex results into clear narratives for senior stakeholders.
- Raise the bar for the data science function through mentorship and by modeling strong analytical practice for the data scientists around you.
The role offers flexibility with in-office collaboration for moments that matter; managers and teams decide which 10+ days per month they come in. You'll work in a fast-paced startup environment with experienced industry leaders, access to professional development budgets, and a learning environment focused on the latest technologies.
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 calls.
- 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.
