Staff Data Scientist – Payments

Circle

Staff Data Scientist at Circle leveraging data analysis for product innovation in payments. Partnering with cross-functional teams to drive data-informed decisions and organizational leverage.

Posted 6/18/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $195,000 - $257,500 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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.

Benefits

Comp & perks

health insurance
retirement plans
paid time off
flexible work arrangements
professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLPythonRstatistical modelingexperimentationcausal inferencequantitative methodsdata analysisdata visualizationdata storytelling

Soft Skills

analytical skillsproblem-solvingattention to detailcommunicationinfluencingcollaborationleadershipstrategic thinkingdecision-makingorganizational leverage