Requirements:

7+ years in data science or quantitative analysis, with a track record of measurable impact on product and business decisions.
Experience as the data science partner to cross-functional teams, shaping roadmaps and helping leaders make better-informed calls.
Track record designing analytics and measurement frameworks that other teams adopt and build on.
Hands-on experience applying AI to accelerate analytics workflows — agentic analysis, AI-assisted insight generation, natural-language data interfaces.
Strong expertise in experimentation, causal inference, forecasting, and statistical modeling.
Expertise in Python or R, fluency in SQL, and experience with large-scale data tech (Databricks).
Experience with FinTech, payments, crypto, or blockchain data is a strong plus.
Advanced degree (MS, PhD) in a quantitative field preferred.
Excellent communication skills — able to translate technical depth into clear narratives for senior stakeholders.

What you'll be doing:

Serve as the data science lead for one or more product or business areas — Payments, Stablecoin, or Custody — applying strong methodology and tackling the hardest analytical problems in your domain.
Partner with product and business leads to shape roadmap decisions: which initiatives to prioritize, what success looks like, and how we'll measure it.
Build the scientific frameworks your teams rely on: product and network health metrics, causal inference approaches, and forecasting that holds up across institutional and developer surfaces.
Apply AI to accelerate analytics — using LLMs and agentic workflows to scale insight generation, automate routine analysis, and make data more self-serve for non-DS partners.
Drive evidence-based evaluation of growth across customers, corridors, and on-chain activity, surfacing the causal drivers behind adoption and volume.
Define and communicate the metrics your teams and leadership run on, translating complex results into clear narratives for senior stakeholders.
Raise the bar for the DS function through mentorship and by modeling strong analytical practice for the data scientists around you.

Competitive salary, bonuses, and equity
Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
Employee giving match
Mobile phone stipend
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