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 Crypto Databricks Experimentation Fintech Forecasting Llm Payment Python R Sql Statistical Modeling

Candidate Availability

Hybrid · New York · 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 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