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 teams use to evaluate product and business performance, apply AI tooling to accelerate analysis, and partner with product and business leads to frame the right questions and ground decisions in rigorous findings. You tackle ambiguous, high-impact problems, build reusable analyses and tooling, and raise the analytical bar across teams.

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 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: 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 technology 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

• For positions based in New York: annual base salary of $164,000 to $205,000 USD (actual salaries vary based on experience and qualifications; this range does not include equity or additional compensation such as bonuses or commissions).
• Competitive bonuses and equity.
• Comprehensive benefits covering physical and mental healthcare, retirement, family forming, and family support.
• Professional development budget.
• Employee giving match.
• Mobile phone stipend.
• Rest and recharge (R&R) days.
• 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.
• In-office collaboration flexibility: managers and teams decide which 10+ days a month to come in.
• Bi-weekly all-company meetings with business updates and leadership discussions.
• Team offsites, team bonding activities, and catered lunches with fully-stocked kitchens.

About Ripple

Ripple builds crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system. The company offers a fast-paced start-up environment with experienced industry leaders, a learning environment focused on the latest technologies, and a culture that values diverse perspectives and empowers every employee.