Staff Data Scientist

📋 Description

• Be the DS tech lead across multiple product and business teams: setting methodological standards
• Partner with product and business leads to define analytics strategy: shaping which initiatives to
• Build the scientific frameworks Ripple reuses at scale: product and network health metrics, causal
• Pioneer AI-accelerated analytics: applying LLMs and agentic workflows to scale insight generation
• Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity
• Define and communicate the metrics leadership runs on: translating complex results into clear

🎯 Requirements

• 8+ years in data science or quantitative analysis, with a track record of senior level impact
• Demonstrated technical leadership across cross-functional teams, influencing roadmaps and strategy
• Proven experience designing reusable analytics and measurement frameworks that scale across
• Hands-on experience applying AI to accelerate analytics workflows (agentic analysis, AI-assisted
• Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a
• Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks

🎁 Benefits

• The opportunity to build in a fast-paced start-up environment with experienced industry leaders
• A learning environment where you can dive deep into the latest technologies and make an impact. A
• Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they
• In-office collaboration for moments that matter is important to our culture, and we give managers
• Bi-weekly all-company meeting - business updates and ask me anything style discussion with our
• We come together for moments that matter which include team offsites, team bonding activities