Staff Data Scientist

As a Staff Data Scientist at Ripple, you'll be the technical lead across the company's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the organization uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. You'll partner with product and business leads to frame the most important questions, set the analytical bar, and operate as a force multiplier solving the hardest problems.

What you'll do

• Be the Data Science tech lead across multiple product and business teams, setting methodological standards and unblocking the hardest analytical problems across areas including Payments, Stablecoin, and Custody products.
• Partner with product and business leads to define analytics strategy, shaping which initiatives to invest in, what success looks like, and how you'll measure it.
• Build the scientific frameworks Ripple reuses at scale, including product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces.
• Pioneer AI-accelerated analytics by applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration 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 leadership runs on, translating complex results into clear narratives for Ripple executives and external stakeholders.
• Raise the bar for the Data Science function through thought leadership and mentorship across embedded teams.

What you bring

• 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams.
• Demonstrated technical leadership across cross-functional teams, influencing roadmaps and strategy at both executive and execution levels.
• Proven experience designing reusable analytics and measurement frameworks that scale across products.
• Hands-on experience applying AI to accelerate analytics workflows, including agentic analysis, AI-assisted insight generation, and natural-language data interfaces.
• Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment.
• Expertise in Python or R, fluency in SQL, and experience with large-scale data tech such as Databricks, Airflow, or dBT.
• Exceptional communication skills, able to turn technical depth into executive-ready narratives.

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, with managers and teams deciding which 10+ days per month they come in
• R&R days to rest and recharge
• Generous wellness reimbursement and weekly onsite and virtual programming
• Generous vacation policy, worked out with your manager
• 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 team events

About Ripple

Ripple builds crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system. The company operates across Payments, Stablecoin, and Custody products, creating greater economic fairness and opportunity worldwide.