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: Multistakeholder, Mindfulness, Driven by Excellence and High Integrity. Circlers are consistently evolving in a remote world where strength in numbers fuels team success. 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: As our first Data Science hire focusing on Machine Learning at Circle, you'll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company. These problems are core to our identity as a safe and compliant actor in the crypto space and we are trying to come up with the best methods and techniques possible to solve these problems. In addition, we would like you to undertake additional research and work to help understand these problems, visualize what we're doing, as well as sometimes venture into other spaces to help understand how our business works. While the focus of this job will be machine learning applications, there are times where we need to use data science to solve other problems and machine learning is not the only or optimal option. What you'll work on: Own development, improvement, and maintenance of the two problems described above: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company. You'll partner with product, treasury, fellow data scientists, and data engineering to understand these problems, help produce the necessary model inputs, build models at the right fidelity and frequency, help push these into production, and monitor the health and success of these models. Identify and work on other machine learning problems that will be highly valuable to Circle. When not working on machine learning models, Identify data; define metrics and analyze needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship. Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions. Perform analyses and build models to understand customer behavior, extracting key insights and communicating to stakeholders to impact product decisions Communicate the state of business, experiments results and recommendations to a broad team and senior leadership Data collection and analysis of blockchain activity to understand trading activity, incentives, and how USDC fits in to the broader crypto ecosystem You will aspire to our four core values: Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities. Mindful - you seek to be respectful, an active listener and to pay attention to detail. Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals. High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards. You reject manipulation, dishonesty and intolerance. What you'll bring to Circle: 5 years of experience in data analysis or data science, with 3 years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science). Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation and analysis. Deep knowledge of machine learning, both theory and application. Proven experience in planning and driving productionalized machine learning models 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. Additional Information: This position is eligible for day-one PERM sponsorship for qualified candidates. Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: $147,500 - $195,000 Annual Bonus Target: 12.5% Also Included: Equity & Benefits (including medical, dental, vision and 401(k)). Circle has a discretionary vacation policy. We also provide 10 days of paid sick leave per year and 11 paid holidays per year in the U.S. We are an equal opportunity employer and value diversity at Circle. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. LI-Remote

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: Multistakeholder, Mindfulness, Driven by Excellence and High Integrity. Circlers are consistently evolving in a remote world where strength in numbers fuels team success. 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: As our first Data Science hire focusing on Machine Learning at Circle, you'll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company. These problems are core to our identity as a safe and compliant actor in the crypto space and we are trying to come up with the best methods and techniques possible to solve these problems. In addition, we would like you to undertake additional research and work to help understand these problems, visualize what we're doing, as well as sometimes venture into other spaces to help understand how our business works. While the focus of this job will be machine learning applications, there are times where we need to use data science to solve other problems and machine learning is not the only or optimal option. What you'll work on: <ul> <li>Own development, improvement, and maintenance of the two problems described above: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company. You'll partner with product, treasury, fellow data scientists, and data engineering to understand these problems, help produce the necessary model inputs, build models at the right fidelity and frequency, help push these into production, and monitor the health and success of these models. </li><li>Identify and work on other machine learning problems that will be highly valuable to Circle. </li><li>When not working on machine learning models, Identify data; define metrics and analyze needs for business partners; Initiate, develop and maintain data pipelines and data models that powers dashboards and data products with outstanding craftsmanship. </li> <li>Perform deep analyses and build models to understand customer behavior, and extract key insights that impact product decisions. </li><li>Perform analyses and build models to understand customer behavior, extracting key insights and communicating to stakeholders to impact product decisions </li><li>Communicate the state of business, experiments results and recommendations to a broad team and senior leadership </li><li>Data collection and analysis of blockchain activity to understand trading activity, incentives, and how USDC fits in to the broader crypto ecosystem </li></ul>You will aspire to our four core values: <ul> <li>Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities. </li><li>Mindful - you seek to be respectful, an active listener and to pay attention to detail. </li> <li>Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals. </li> <li>High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards. You reject manipulation, dishonesty and intolerance. </li></ul>What you'll bring to Circle: <ul> <li>5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science). </li><li>Proficiency in SQL and at least one programming language, such as R or Python, for data manipulation and analysis. </li><li>Deep knowledge of machine learning, both theory and application. </li><li>Proven experience in planning and driving productionalized machine learning models </li><li>Excellent analytical and problem-solving skills, with attention to detail. </li><li>Strong communication skills to convey complex findings and insights to both technical and non-technical partners. </li></ul>Additional Information: <ul> <li>This position is eligible for day-one PERM sponsorship for qualified candidates. </li></ul> Circle is on a mission to create an inclusive financial future, with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages. Starting pay is determined by various factors, including but not limited to: relevant experience, skill set, qualifications, and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations. Base Pay Range: $147,500 - $195,000 Annual Bonus Target: 12.5% Also Included: Equity & Benefits (including medical, dental, vision and 401(k)). Circle has a discretionary vacation policy. We also provide 10 days of paid sick leave per year and 11 paid holidays per year in the U.S. We are an equal opportunity employer and value diversity at Circle. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Additionally, Circle participates in the E-Verify Program in certain locations, as required by law. #LI-Remote

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