About this role
Ripple is building crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system and create greater economic fairness. The data science team focuses on driving analytics across the product and business portfolio by establishing scientific frameworks and leveraging AI tooling to accelerate analysis. Operating within domains such as Payments, Stablecoin, or Custody, this role exists to partner with product and business leads, tackle ambiguous problems, and elevate the analytical standards of the organization. A suitable candidate brings deep quantitative expertise, a collaborative approach to cross-functional roadmapping, and a strong track record of designing measurement frameworks that guide senior leadership decisions.
What you will do
- Serve as the data science lead for product areas like Payments, Stablecoin, or Custody by applying strong methodology to complex analytical problems.
- Partner with product and business leads to shape roadmap decisions, define initiative priorities, and establish success metrics.
- Build scientific frameworks encompassing network health metrics, causal inference approaches, and institutional forecasting.
- Apply AI tools, including LLMs and agentic workflows, to scale insight generation and automate routine analysis.
- Drive evidence-based evaluation of customer growth, payment corridors, and on-chain activity to uncover causal drivers of adoption.
- Define and communicate metrics that leadership runs on by translating complex results into clear narratives for senior stakeholders.
- Raise the bar for the data science function through active mentorship and the modeling of strong analytical practices.
What you need
- Bring seven or more years of professional experience in data science or quantitative analysis with a record of measurable business impact.
- Demonstrate experience acting as a data science partner to cross-functional teams and helping leaders inform their roadmaps.
- Possess a proven track record of designing analytics and measurement frameworks that other teams adopt and build upon.
- Show hands-on experience applying AI to accelerate analytics workflows such as agentic analysis and natural-language data interfaces.
- Display strong technical expertise in experimentation, causal inference, forecasting, and statistical modeling.
- Maintain professional fluency in Python or R, SQL proficiency, and experience working with large-scale data technology like Databricks.
- Communicate technical depth clearly and effectively to senior stakeholders through strong verbal and written skills.
Nice to have
- Experience with FinTech, payments, crypto, or blockchain data
- Advanced degree (MS, PhD) in a quantitative field
Benefits
- Competitive salary, bonuses, and equity
- Comprehensive benefits covering physical and mental healthcare, retirement, family forming, and family support
- Generous vacation policy alongside R&R days and wellness reimbursement
- Professional development budget and learning environments
- Catered lunches, fully-stocked kitchens, and mobile phone stipend
- Industry-leading parental leave and family planning benefits
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
In-office collaboration for moments that matter is important to the culture, and managers and teams have the flexibility to decide which 10 or more days a month they come into the office.
What is the salary range for this position?
For positions based in California, the annual base salary range is $172,000 to $215,000 USD. Actual salaries may vary based on factors such as an individual applicant's experience and qualifications, and this range does not include equity or additional compensation like bonuses or commissions.
What tools and technologies will I use?
The role utilizes Python or R, SQL fluency, large-scale data tech such as Databricks, and AI tooling including LLMs and agentic workflows to scale insight generation.
What product areas will I support?
You will serve as the data science lead for one or more product or business areas, specifically Payments, Stablecoin, or Custody.