Risk Labs Foundation

Data Scientist

• Drive the analytics agenda by applying a product mindset to identify and prioritize the most impactful product and business questions, independently performing deep, hands-on analyses, and delivering dashboards and reports that shape strategic decisions.
• Collaborate closely with data engineering to onboard and model new data sources. Write SQL/Python (or similar) scripts to source, extract, clean and optimize analytics-ready data for downstream uses–balancing rigor with speed.
• Act as the analytics partner for Product, Engineering, and company leadership, surfacing trends, anomalies, and opportunities early, and translating data into clear, actionable recommendations.
• Ensure the data leveraged for analytics is accurate, well-structured, and aligned with business priorities, focusing effort where it drives the most impact.
• Leverage deep understanding of crypto, DeFi, interoperability to contextualize data, anticipate emerging trends, and convert historical insights into forward-looking recommendations.

Data Lead