Senior Data Scientist (AI)

Location: New York, NY, United States. Hybrid work with in-office collaboration expected for 10+ days per month.

Annual base salary: $164,000–$205,000 USD, excluding equity, bonuses, and commissions.

Company

hirify.global develops crypto solutions for financial institutions, businesses, governments, and developers to improve the global financial system.

What you will do

• Lead data science for product or business areas including Payments, Stablecoin, and Custody.
• Partner with product and business leaders on roadmap prioritization, success criteria, and measurement.
• Build product and network health metrics, causal inference approaches, forecasting models, and reusable analytical frameworks.
• Apply AI, LLMs, and agentic workflows to scale insight generation, automate routine analysis, and enable self-service analytics.
• Evaluate growth across customers, payment corridors, and on-chain activity, identifying causal drivers of adoption and volume.
• Define metrics, communicate complex findings to senior stakeholders, and mentor data scientists.

Requirements

• 7+ years of experience in data science or quantitative analysis with measurable impact on product and business decisions.
• Experience partnering with cross-functional product and business teams and influencing roadmap decisions.
• Hands-on experience with AI-assisted analytics, agentic analysis, insight generation, or 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 Databricks or other large-scale data technologies.
• Excellent communication skills and the ability to explain technical analysis to senior stakeholders.

Nice to have

• Experience with fintech, payments, crypto, or blockchain data.
• Advanced degree such as an MS or PhD in a quantitative field.

Culture & Benefits

• In-office collaboration with flexibility for managers and teams to determine attendance of 10+ days per month.
• Professional development budget and opportunities to work with emerging technologies.
• Healthcare, retirement, family-forming, family-support, parental leave, and family-planning benefits.
• Vacation, rest and recharge days, wellness reimbursement, and onsite and virtual wellness programming.
• Equity, bonuses, mobile phone stipend, catered lunches, stocked kitchens, and team events.