Ripple - Open Role — Staff Data Scientist
Requirements
• 8+ years in data science or quantitative analysis, with a track record of senior level impact across multiple teams. • Demonstrated technical leadership across cross-functional teams, influencing roadmaps and strategy at both executive and execution levels. • technical leadership across cross-functional teams • Proven experience designing reusable analytics and measurement frameworks that scale across products. • reusable analytics and measurement frameworks • Hands-on experience applying AI to accelerate analytics workflows (agentic analysis, AI-assisted insight generation, natural-language data interfaces). • Deep expertise in experimentation, causal inference, forecasting, and statistical modeling in a product environment. • Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks, Airflow, dBT a plus). • Experience with FinTech, payments, crypto, or blockchain data is a strong plus. • Advanced degree (MS, PhD) in a quantitative field preferred. • Exceptional communication skills — able to turn technical depth into executive-ready narratives. • For positions that will be based in CA, the annual salary range for this position is below. Actual salaries may vary based on numerous factors including, among other things, an individual applicant’s experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions.
Responsibilities
• Be the DS tech lead across multiple product and business teams: setting methodological standards and unblocking the hardest analytical problems across areas including Payments, Stablecoin & Custody products. • Partner with product and business leads to define analytics strategy: shaping which initiatives to invest in, what success looks like, and how we'll know. • Partner with product and business leads to define analytics strategy • Build the scientific frameworks Ripple reuses at scale: product and network health metrics, causal inference playbooks, liquidity and adoption models, and forecasting approaches that work across institutional and developer surfaces. • Build the scientific frameworks Ripple reuses at scale • Pioneer AI-accelerated analytics: applying LLMs and agentic workflows to scale insight generation, automate routine analysis, and enable self-serve exploration for non-DS partners. • Pioneer AI-accelerated analytics • Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume. • Drive evidence-based evaluation of growth • Define and communicate the metrics leadership runs on: translating complex results into clear narratives for Ripple executives and external stakeholders. • Define and communicate the metrics leadership runs on • Raise the bar for the DS function through thought leadership and mentorship across embedded teams. • Raise the bar for the DS function
Benefits
• $212,000—$265,000 USD • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support • Employee giving match • Mobile phone stipend • Take Care of Yourself • R&R days so you can rest and recharge • Generous wellness reimbursement and weekly onsite & virtual programming • Generous vacation policy - work with your manager to take time off when you need it • Industry-leading parental leave policies. Family planning benefits. • Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events • Benefits listed above are for full-time employees.
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