Staff Data Scientist - Payments

Overview

• Partner with the Payments team to design and develop foundational datasets, metrics, and analytical frameworks that support product strategy and business decision-making.

• Analyze customer behavior, product adoption, and transaction activity to generate actionable insights that improve payment experiences and drive business growth.

• Research onchain payments ecosystems, blockchain transaction data, and competitive payment solutions to inform product development and market positioning.

• Lead strategic analyses that identify new opportunities for product innovation, operational efficiency, and revenue growth.

• Build scalable reporting, dashboarding, and automation solutions using SQL, Python, and business intelligence tools to increase organizational leverage.

• Communicate analytical findings through compelling visualizations and data storytelling tailored to technical and non-technical stakeholders, including senior leadership.

• Influence product and business strategy by partnering cross-functionally with Product, Engineering, Operations, and Business leaders to drive data-informed decision-making.

Requirements

• 10+ years of experience in Data Science, Analytics, Economics, Statistics, or a related quantitative field.

• Advanced proficiency in SQL and at least one programming language such as Python or R.

• Deep expertise in statistical modeling, experimentation, causal inference, and quantitative methods.

• Proven track record of independently leading large-scale analytical and data science initiatives from ambiguous problem statements to measurable business outcomes.

• Strong experience influencing product strategy, business decisions, and senior stakeholders through data-driven recommendations.

• Experience building scalable data products, analytical frameworks, and self-service capabilities that drive organizational leverage.

• Excellent analytical and problem-solving skills with strong attention to detail and data quality.