[Remote] Staff Data Scientist - Payments
Note: The job is a remote job and is open to candidates in USA. Circle is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets and payment applications. As a Staff Data Scientist, you will partner with product and business leaders to transform data into strategic insights that drive decision-making and product innovation, while also building scalable data solutions and leading complex analytical initiatives.
Responsibilities
- 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
Skills
- 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
- Deep experience working with payments products, payment networks, fintech, or financial services platforms
- Experience analyzing blockchain datasets, onchain transaction activity, and public ledger data
Company Overview
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