Senior Data Scientist

As a Senior Data Scientist at Ripple, you drive analytics across the company's product and business portfolio. You build the scientific frameworks that teams use to evaluate performance, partner with product and business leads to frame the right questions, and use AI tooling to accelerate the speed and reach of your analysis. You take on ambiguous, high-impact problems, build analyses and tooling others can reuse, and raise the analytical bar across the organization.

What you'll do

• Serve as the data science lead for one or more product or business areas (Payments, Stablecoin, or Custody), applying strong methodology and tackling 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 you'll measure it
• Build the scientific frameworks your teams rely on, including product and network health metrics, causal inference approaches, and forecasting that holds up across institutional and developer surfaces
• Apply AI to accelerate analytics by 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

What you bring

• 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
• A track record designing analytics and measurement frameworks that other teams adopt and build on
• Hands-on experience applying AI to accelerate analytics workflows, including agentic analysis, AI-assisted insight generation, and 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 such as Databricks
• Excellent communication skills able to translate technical depth into clear narratives for senior stakeholders

Nice to have

• Experience with FinTech, payments, crypto, or blockchain data
• An advanced degree (MS, PhD) in a quantitative field

What we offer

• Competitive salary, bonuses, and equity
• Competitive benefits covering physical and mental healthcare, retirement, family forming, and family support
• Professional development budget to support learning
• Flexible in-office collaboration: 10+ days per month at your discretion with your manager and team
• Rest and recharge (R&R) days
• Generous wellness reimbursement and weekly onsite and virtual programming
• Generous vacation policy to take time off when you need it
• Industry-leading parental leave policies and family planning benefits
• Employee giving match
• Mobile phone stipend
• Catered lunches, fully-stocked kitchens with premium snacks and beverages, and regular team events

About Ripple

Ripple builds crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system. The company provides tools and infrastructure for payments, stablecoins, and custody, working to create greater economic fairness and opportunity worldwide.