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.

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Skills

Ai Analytics Blockchain Causal Inference Databricks Data Science Experimentation Forecasting Llm Python R Sql Statistical Modeling

Candidate Availability

Hybrid · San Francisco · Required

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 domains, partner with leaders on roadmap decisions, and define success metrics. You will build health metrics, causal-inference approaches, forecasts, reusable analyses, and AI-enabled analytics workflows. You will evaluate customer, corridor, and on-chain growth, communicate findings 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
Experience designing adopted analytics and measurement frameworks
Experience applying AI to analytics workflows
Expertise in experimentation, causal inference, forecasting, and statistical modeling
Expertise in Python or R and SQL fluency
Experience with Databricks
FinTech, payments, crypto, or blockchain data experience is a strong plus
Advanced quantitative degree preferred

Responsibilities

Lead data science for product or business areas
Shape product roadmaps, priorities, success criteria, and measurement
Build product and network health metrics, causal-inference approaches, and forecasting
Apply LLMs and agentic workflows to accelerate analytics
Evaluate customer, corridor, and on-chain growth
Define and communicate decision metrics and analytical narratives
Mentor data scientists and model analytical practice

Benefits

Professional development budget
Flexible in-office attendance determined by managers and teams
Team offsites, bonding activities, happy hours, and events
Bonuses and equity
Healthcare, retirement, family-forming, and family-support benefits
Employee giving match
Mobile phone stipend
R&R days
Wellness reimbursement and onsite and virtual programming
Vacation policy
Parental leave and family-planning benefits
Catered lunches and stocked kitchens