Staff Data Scientist - Digital Assets

Circle Internet Management Services LLC

California (MO)

On-site

USD 195,000 - 257,500

Full time

14 days+

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Job summary

Circle Internet Management Services LLC is seeking a Staff Data Scientist to enhance its digital assets products. In this role, you'll work with various teams to assess business opportunities, build measurement frameworks, and create data visualizations. Candidates should have over 5 years of experience in data science, proficiency in SQL, and knowledge of programming languages like R or Python.

The position offers a competitive salary between $195,000 and $257,500 based on experience and location.

Qualifications

  • 5+ years of experience in data science.
  • Proficiency in SQL and at least one programming language, such as R or Python.
  • Strong understanding of statistics and experience applying statistical methods.
  • Proven experience in planning and driving analytical projects.
  • Excellent analytical and problem-solving skills.

Responsibilities

  • Conduct strategic analysis, modeling, and research to find new business opportunities.
  • Partner with teams to translate business needs into core data designs.
  • Investigate how digital products work on-chain.
  • Build measurement frameworks for product success evaluation.
  • Create data visualizations for broader understanding.

Skills

SQL
Data manipulation
Data analysis
Statistical methods
Problem-solving
Cross-functional collaboration

Tools

R
Python

Job description

Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle’s platform includes the world’s largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise‑grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at circle.com.

What you’ll be part of

Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.

What you’ll be responsible for

As a Staff Data Scientist at Circle, you’ll work closely with business partners to better understand our products, build measurement frameworks for digital assets products, leverage data to find opportunities in digital assets product offerings, and enable better decision‑making with data. In this role, you will partner with our Digital Assets team, which is responsible for growing our flagship products (USDC and USYC). The team is growing USDC by expanding our banking partnerships, offering new products that increase the utility of USDC (such as our credit and foreign exchange offerings), and through the issuance of new assets via Circle’s liquidity, multichain, and settlement infrastructure. This is an opportunity for the right data scientist to impact the operation of our most valuable products.

What you’ll work on
  • Perform strategic analysis, modeling, and research to identify new opportunities to improve our business.
  • Partner with the Digital Assets, Finance, Treasury, and Risk teams by translating business needs into design and development of core tables.
  • Investigate product use and how other Digital Assets products work on‑chain.
  • Conduct research that will help us build best‑in‑class products.
  • Build measurement frameworks to assess the success or shortcomings of the product portfolio and inform decision making.
  • Create data visualizations that translate analytic and data science results for broad understanding across the business.
  • Build scalable automation solutions using SQL, dashboards, and other tools to create leverage for yourself and the digital assets team.
  • Occasionally share your results with larger audiences to educate them on the digital assets product and ecosystem.
Core Values
  • Multistakeholder – dedication and commitment to our customers, shareholders, employees, and local communities.
  • Mindful – respectful, active listening, and attention to detail.
  • Driven by Excellence – relentless pursuit of excellence, no tolerance for mediocrity, intense goal achievement.
  • High Integrity – open and honest communication, high moral and ethical standards, rejection of manipulation and dishonesty.
What you’ll bring to Circle
  • 5+ years of experience in data science.
  • Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation, analysis, and modeling.
  • Strong understanding of statistics and experience applying statistical methods to understand business outcomes and customer behavior.
  • Proven experience in planning and driving analytical and data science projects.
  • Excellent analytical and problem‑solving skills, with attention to detail.
  • Strong cross‑functional collaboration skills and ability to influence diverse stakeholders.
  • Experience with blockchain data and finance data is preferred but not required.
Compensation

Base Pay Range: $195,000–$257,500. Compensation may differ for candidates in other locations.

Equal Opportunity Employer

Circle is an equal‑opportunity employer and does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected status required by law. Circle participates in the E‑Verify Program where required. If you require accommodations in the interview process because of a disability, please contact accommodations@circle.com. Circle respects your privacy and will accommodate your needs separately from the interview process.

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