Staff Data Scientist: AI-Driven Analytics Leader

Ripple; San Francisco (CA); On-site; USD 180,000 - 280,000; Full time

Benefits offered by this job

Bonuses & equity

Benefits: healthcare & retirement

Employee giving match

Job summary

Ripple in San Francisco is seeking a Staff Data Scientist to be the technical lead across its product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company.

In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces

Qualifications

• 8+ years in data science or quantitative analysis with senior impact across teams.
• Experience designing reusable analytics and measurement frameworks at scale.
• Hands-on experience applying AI to accelerate analytics workflows (LLMs, agentic workflows).
• Expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment.
• Fluency in Python or R, SQL, and experience with large-scale data tech (Databricks, Airflow).
• Experience with FinTech, payments, crypto, or blockchain data is a strong plus.
• Advanced degree (MS or PhD) in a quantitative field.
• Exceptional communication skills for executive-ready narratives.

Responsibilities

• Be the DS tech lead across multiple product and business teams.
• Partner with product and business leads to define analytics strategy.
• Build the scientific frameworks Ripple reuses at scale.
• Pioneer AI-accelerated analytics: applying LLMs and agentic workflows to scale insight generation.
• Drive evidence-based evaluation of growth across customers and on-chain activity.
• Define and communicate the metrics leadership runs on.

Skills

Leadership across teams

Analytics framework design

AI in analytics

Experimentation & causal inference

Education

MS/PhD in quantitative field

Tools

Python or R

SQL

Databricks

Airflow

Job description

Ripple in San Francisco is seeking a Staff Data Scientist to be the technical lead across its product and business portfolio. You'll define the analytics vision, build the scientific frameworks the org uses to evaluate product and business performance, and use AI tooling to accelerate the speed and reach of analytics across the company.

In this role, you'll partner with product and business leads to frame the most important questions, set the analytical bar, and ensure decisions across surfaces