Senior Data Scientist

As a Senior Data Scientist at Ripple, you drive analytics across the company's product and business portfolio. You'll build the scientific frameworks teams use to evaluate product and business 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.

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: 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.

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 calls.
• 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 or 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.
• R&R days so you can rest and recharge.
• Generous wellness reimbursement and weekly onsite and virtual programming.
• Generous vacation policy: work with your manager to take time off when you need it.
• Industry-leading parental leave policies and family planning benefits.
• Employee giving match.
• Mobile phone stipend.
• Professional development budget to support learning in the latest technologies.
• In-office collaboration for moments that matter, with flexibility for you and your manager to decide which 10+ days a month you come in.
• Catered lunches, fully-stocked kitchens with premium snacks and beverages, team offsites, team bonding activities, and more.

About Ripple

Ripple builds crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system. The company is improving economic fairness and opportunity through on-chain infrastructure and crypto payment networks.