Staff Data Scientist
Core
Technical lead defining analytics vision, building scientific frameworks for product/business performance evaluation, and pioneering AI-accelerated analytics across Ripple's crypto and financial solutions.
Role type
Staff Data Scientist (Technical Lead)
Builds
Reusable analytics frameworks, causal inference playbooks, liquidity/adoption models, and AI-driven insight generation tools.
Domain
FinTech, Crypto, Blockchain, Payments
Deliverable
production ML models | dashboards & analysis | research
Required skills
Technical leadership across cross-functional teams, designing scalable analytics frameworks, experimentation and causal inference, forecasting and statistical modeling, Python, SQL, large-scale data tech (Databricks, Airflow)
Preferred skills
FinTech/crypto/blockchain domain expertise, advanced degree (MS/PhD) in quantitative field
Technologies
Python, R, SQL, Databricks, Airflow, LLMs, agentic workflows
Responsibilities
Set methodological standards and solve hardest analytical problems for Treasury, Markets, Custody, and XRPL teams; Define analytics strategy with product/business leads; Build scalable scientific frameworks for metrics and forecasting; Pioneer AI-accelerated analytics using LLMs and agentic workflows; Drive evidence-based evaluation of growth and adoption; Define and communicate key metrics to leadership; Mentor and raise the bar for the data science function.