Staff Data Scientist

You will set analytics standards across product and business teams, solve complex analytical problems, and build reusable measurement frameworks. You will apply AI to analytics workflows, evaluate growth drivers, communicate results to leadership, and mentor data scientists.

Responsibilities

• Set methodological standards and solve complex analytical problems across product and business teams
• Define analytics strategy with product and business leads
• Build reusable product, network, causal-inference, liquidity, adoption, and forecasting frameworks
• Apply LLMs and agentic workflows to analytics
• Evaluate growth across customers, corridors, and on-chain activity
• Define and communicate leadership metrics
• Provide thought leadership and mentorship to data scientists

Requirements

• 8+ years of data science or quantitative analysis experience
• Technical leadership across cross-functional teams
• Experience designing reusable analytics and measurement frameworks
• Experience applying AI to analytics workflows
• Expertise in experimentation, causal inference, forecasting, and statistical modeling
• Expertise in Python or R
• Fluency in SQL
• Experience with large-scale data technology
• Databricks, Airflow, and dbt are a plus
• FinTech, payments, crypto, or blockchain data experience is a strong plus
• Advanced quantitative degree is preferred

Benefits

• Bonuses and equity
• Healthcare, retirement, family-forming, and family-support benefits
• Employee giving match
• Mobile phone stipend
• R&R days
• Wellness reimbursement and onsite and virtual wellness programming
• Generous vacation policy
• Parental leave and family-planning benefits
• Catered lunches and stocked kitchens with snacks and beverages
• Team offsites, bonding activities, and happy hours