SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Salary: USD 212,000 - 265,000 / annual
Ripple is seeking a Staff Data Scientist to serve as the technical lead across the company's diverse product and business portfolio. In this role, you will define the analytics vision, build scientific frameworks for evaluating product and business performance, and leverage AI tooling to accelerate analytics across the organization.
You will partner with product and business leaders to frame critical questions, set analytical standards, and ensure decisions are grounded in consistent, thorough analysis. Operating as a force multiplier, you will solve the most complex analytical problems, build reusable frameworks, and mentor data scientists across teams.
Key responsibilities include:
- Serve as the data science technical lead across multiple product and business teams (Payments, Stablecoin, Custody), setting methodological standards and solving hard analytical problems
- Partner with product and business leads to define analytics strategy, including which initiatives to prioritize and how success will be measured
- Build scalable scientific frameworks including product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches
- Pioneer AI-accelerated analytics by applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration
- Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, identifying causal drivers of adoption and volume
- Define and communicate key metrics for leadership, translating complex results into clear narratives for executives and external stakeholders
- Raise the bar for the data science function through thought leadership and mentorship
The company operates in a hybrid model with flexibility—10+ days per month in-office collaboration, with managers and teams deciding their schedule. Ripple is a fast-paced, venture-backed fintech company building crypto solutions for financial institutions, businesses, governments, and developers.
REQUIREMENTS:
- 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 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 (agentic analysis, AI-assisted insight generation, 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 (Databricks, Airflow, dBT preferred)
- Experience with FinTech, payments, crypto, or blockchain data is a strong plus
- Advanced degree (MS, PhD) in a quantitative field preferred
- Exceptional communication skills—able to translate technical depth into executive-ready narratives
