Senior Data Scientist
Ripple provides payments, custody and stablecoin solutions that help financial institutions integrate blockchain and digital assets.
Maintainer signals as of 9/25/2026
Funding history
Investors
Projects
About Ripple
Ripple helps financial institutions transform global payments by providing blockchain-powered infrastructure for cross-border payments, digital asset custody, and stablecoin solutions. With it, users can enable instant settlements, reduce costs, and access new markets. The company was originally founded as OpenCoin in 2012 and rebranded to Ripple in 2015.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead data science for product or business areas, partner with leaders on roadmap decisions, and create rigorous frameworks for measuring performance. You will apply AI tooling to scale analysis, investigate growth drivers, communicate results to senior stakeholders, and mentor other data scientists.
Requirements
- 7+ years of data science or quantitative analysis experience
- Experience partnering with cross-functional teams on roadmaps and decisions
- Experience designing analytics and measurement frameworks
- Experience applying AI to analytics workflows
- Expertise in experimentation, causal inference, forecasting, and statistical modeling
- Expertise in Python or R
- SQL fluency
- Experience with Databricks
- Excellent communication skills
Responsibilities
- Lead data science for product or business areas including Payments, Stablecoin, or Custody
- Partner with product and business leads to shape roadmap decisions and success metrics
- Build product and network health metrics, causal-inference approaches, and forecasting frameworks
- Apply LLMs and agentic workflows to accelerate analytics and automate routine analysis
- Evaluate growth across customers, corridors, and on-chain activity
- Define and communicate metrics and analytical results to leadership
- Mentor data scientists and model strong analytical practices
Benefits
- Professional development budget
- Flexible in-office attendance determined by managers and teams
- Team offsites, bonding activities, and happy hours
- Bonuses and equity
- Healthcare, retirement, family-forming, and family-support benefits
- Employee giving match
- Mobile phone stipend
- R&R days
- Wellness reimbursement and onsite or virtual programming
- Generous vacation policy
- Parental leave and family-planning benefits
- Catered lunches and stocked kitchens