Staff Data Scientist

Circle Internet Financial • San Francisco, CA

1d • Remote

About The Position

Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems. This ground-breaking new internet layer opens up previously unimaginable possibilities for payments, commerce and markets that can help raise global economic prosperity and enhance inclusion. Our infrastructure – including USDC, a blockchain-based dollar – helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology. 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 and diverse work environment where new ideas are encouraged and everyone is a stakeholder. What you’ll be responsible for: Circle is more than USDC. Circle builds a variety of tools to help make the crypto ecosystem more efficient; from programmable wallets to CCTP to our upcoming ARC chain. These products are critical to multiple participants: developers, blockchains, applications, exchanges, traders, individuals, and protocols (just to name a few). We need to understand how our products and our competitor’s products are being used, by whom, and come up with reasonable understandings of why. When we build new products like ARC, we need to be sure that the system works for all participants. We are looking for a Staff Data Scientists with deep roots in crypto to help us do this. This role will be critical to how we make decisions across the company (product, engineering, business development, marketing, compliance, etc).

Requirements

• Deep experience working with data in the crypto space.
• 6+ years of experience in data analysis or data science, with 3+ years focusing on blockchain data.
• Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation and analysis.
• Strong understanding of statistics and experience applying statistical methods to interpret blockchain data.
• Proven experience in planning and driving analytical projects.
• Excellent analytical and problem-solving skills, with attention to detail.
• Strong communication skills to convey complex findings and insights to both technical and non-technical partners.

Nice To Haves

• Strong preference for candidates with deep knowledge and/or experience in:
• Blockchain administration and tokenomics
• Blockchain transaction analysis and the ability to conduct thorough investigations.
• Blockchain technologies and protocols (e.g., Ethereum, Bitcoin).
• Blockchain research methods, including transaction tracing, network analysis, and anomaly detection.
• Blockchain analytics tools and platforms (e.g., Arkham, TRM Labs, Chainalysis, Elliptic)
• Maintaining labels and tags for onchain addresses.
• Stablecoin mechanics and practical knowledge of analyzing their movement on blockchains.

Responsibilities

• Help address a variety of questions across ARC, CCTP, Chain Expansion, programmable wallets and a suite of products we might build in the future.
• Partner with and mentor a team of eager, thoughtful, and hard working data analysts and data scientists trying to improve our products and serve the ecosystem.
• Build models and frameworks to understand problems around token distribution, competitive intelligence, USDC dispersion, and the decentralized ecosystem
• Keeping up with Blockchain research: Work closely with Blockchain Researchers across Circle to share insights and collaborate on transaction tracing, blockchain forensics, network analysis, and anomaly detection. This collaboration will help uncover deeper insights, identify fraudulent activity, improve security, and enhance compliance procedures.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees