Staff Data Scientist (Web3)

TL;DR

Staff Data Scientist (Web3/AI): Defining the analytics vision and building scientific frameworks to evaluate product and business performance with an accent on AI-accelerated analytics and causal inference. Focus on scaling insight generation through LLMs, designing reusable measurement frameworks, and driving evidence-based growth across institutional and developer surfaces.

Location: Hybrid (requires 10+ days of in-office collaboration per month)

Company

A global leader building crypto solutions for financial institutions, businesses, and governments to improve the global financial system.

What you will do

• Act as the DS technical lead across multiple product teams including Treasury, Markets, Custody, and XRPL.
• Partner with product and business leads to define analytics strategy and success metrics.
• Develop reusable scientific frameworks for network health, causal inference, and forecasting.
• Pioneer AI-accelerated analytics by applying LLMs and agentic workflows to automate insights.
• Drive evidence-based evaluation of growth, identifying causal drivers behind adoption and volume.
• Translate complex technical results into clear narratives for executives and external stakeholders.

Requirements

• 8+ years of experience in data science or quantitative analysis with senior-level impact.
• Proven technical leadership across cross-functional teams and influence over strategy.
• Deep expertise in experimentation, causal inference, forecasting, and statistical modeling.
• Proficiency in Python or R and fluency in SQL.
• Hands-on experience applying AI/LLMs to accelerate analytics workflows.
• Advanced degree (MS, PhD) in a quantitative field preferred.

Nice to have

• Experience with FinTech, payments, crypto, or blockchain data.
• Experience with large-scale data technology such as Databricks, Airflow, or dBT.

Culture & Benefits

• Competitive salary, bonuses, and equity.
• Comprehensive physical and mental healthcare, retirement, and family support.
• Professional development budget and a deep-dive learning environment.
• Flexible hybrid work model with designated in-office collaboration days.
• Generous vacation policy, R&R days, and industry-leading parental leave.
• Perks include catered lunches, fully-stocked kitchens, and team bonding events.