Circle
Staff Data Scientist - Digital Assets
San Francisco - remote first in US · Staff+
Sponsorship not specified$195k-$258kDetected 25 days ago
PythonSQLData ScienceData VisualizationStatisticsResearchCollaborationProblem Solving
About the role
- Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation.
- 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.
Requirements
- Additionally, Circle participates in the E-Verify Program in certain locations, as required by law.
- 7+ 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.
- Experience with blockchain data and finance data is preferred but not required.
Skills
- This is an opportunity for the right data scientist to impact the operation of our most valuable products.
- Occasionally share your results with larger audiences to educate them on the digital assets product and ecosystem
- relevant experience, skill set, qualifications, and other business and organizational needs.
- Please note that compensation ranges may differ for candidates in other locations.
Compensation
- $195,000 - $257,500
Benefits
- Should you require accommodations or assistance in our interview process because of a disability, please reach out to accommodations@circle.com for support.
Company info
- Circle is committed to visibility and stability in everything we do.
- We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.
Equal opportunity
- We are an equal opportunity employer.
This listing is sourced directly from Circle's careers page and normalized into a canonical job model.