Senior Data Scientist — AI-Driven FinTech Analytics + Equity

Ripple; San Francisco, Northern (CA, KY); Hybrid; USD 172,000 - 215,000; Full time

Benefits offered by this job

Bonuses

Equity

Retirement plan

Family forming benefits

Wellness reimbursement

Job summary

Ripple in San Francisco is seeking a Senior Data Scientist to drive analytics across product and business portfolios. You will build the scientific frameworks teams use to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of your analysis.

In this role, you'll partner with product and business leads to frame the right questions, bring rigor to how they're answered, and ensure decisions rest on a consistent, thorough foundation.

Qualifications

• 7+ years in data science or quantitative analysis.
• Experience partnering with product and business teams to shape roadmaps.
• Ability to design analytics and measurement frameworks adopted by others.

Responsibilities

• Serve as the data science lead for one or more product or business areas—Payments, Stablecoin, or Custody.
• Partner with product and business leads to shape roadmap decisions and success metrics.
• Build scientific frameworks: product metrics, causal inference, and forecasting across surfaces.
• Apply AI to accelerate analytics: LLMs, agentic workflows, and self-serve data for non-DS partners.
• Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity.
• Define and communicate metrics for teams and leadership.

Skills

Data science

Cross-functional partner

Experimentation

Python

SQL

Databricks

AI in analytics

Education

MS or PhD in quantitative field

Tools

Databricks

R

Job description

Ripple in San Francisco is seeking a Senior Data Scientist to drive analytics across product and business portfolios. You will build the scientific frameworks teams use to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of your analysis.

In this role, you'll partner with product and business leads to frame the right questions, bring rigor to how they're answered, and ensure decisions rest on a consistent, thorough foundation.