below marketmost similar roles pay hereabove market
This role pays more than
69%
of similar roles. Most pay
$150,331–$232,047
— the blue band above.
At the midpoint, this role pays about
$226k
versus about
$191k
for comparable roles.
Based on 240 similar postings.
Employer
About Circle
Circle is a global financial technology firm and the principal operator of USD Coin (USDC), a leading stablecoin, providing cross-border payments and digital currency infrastructure for businesses. Industry: Financial Technology & Digital Currency
Circle currently has
18 open roles
on FindRole.
Listed pay typically runs
$195,000–$257,500
across 17 roles with salary data.
Staff Data Scientist - Payments will join the Payments team as a staff individual contributor and subject matter expert. The role involves partnering with product and business leaders to transform data into strategic insights, influencing product strategy, and identifying new business opportunities. Key responsibilities include designing foundational datasets, metrics, and analytical frameworks, analyzing customer behavior and transaction activity, and researching onchain payments ecosystems. The successful candidate will build scalable reporting, dashboarding, and automation solutions while providing thought leadership on complex business problems. Required skills include advanced proficiency in SQL and Python or R, along with deep expertise in statistical modeling, experimentation, and causal inference. The work focuses on the payments ecosystem, specifically involving blockchain transaction data and public ledger data to improve payment experiences.
What does a Data Scientist earn in California?
Median $214500 from 134 postings across 32 companies.
Design and develop foundational datasets, metrics, and analytical frameworks to support product strategy.
Analyze customer behavior and transaction activity to generate actionable insights for business growth.
Research onchain payments ecosystems and blockchain transaction data to inform product development.
Lead strategic analyses to identify opportunities for product innovation and operational efficiency.
Build scalable reporting, dashboarding, and automation solutions using SQL, Python, and BI tools.
Communicate analytical findings through data storytelling and visualizations for technical and non-technical stakeholders.
Influence product and business strategy by partnering cross-functionally to drive data-informed decisions.
What we're looking for
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 (preferred); experience analyzing blockchain datasets (preferred).