Staff Data Scientist
About The Position
We're looking for a Staff Data Scientist to be the technical lead across Ripple's diverse product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company. In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces rest on a consistent, thorough foundation. You'll operate as a force multiplier -- solving the hardest problems, building the frameworks others reuse, and leveling up data scientists across teams.
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 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 (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 a plus).
- Exceptional communication skills — able to turn technical depth into executive-ready narratives.
Nice To Haves
- Experience with FinTech, payments, crypto, or blockchain data is a strong plus.
- Advanced degree (MS, PhD) in a quantitative field preferred.
Responsibilities
- Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Payments, Stablecoin & Custody products.
- Partner with product and business leads to define analytics strategy: shaping which initiatives to invest in, what success looks like, and how we'll know.
- Build the scientific frameworks Ripple reuses at scale: 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: applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS 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 DS function through thought leadership and mentorship across embedded teams.
Benefits
- Professional development budget to support other modes of learning.
- Competitive salary, bonuses, and equity
- Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
- Employee giving match
- Mobile phone stipend
- R&R days so you can rest and recharge
- Generous wellness reimbursement and weekly onsite & virtual programming
- Generous vacation policy - work with your manager to take time off when you need it
- Industry-leading parental leave policies.
- Family planning benefits.
- Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
