What you’ll be responsible for:

As a Director, Data Science at Circle, you’ll work closely with the Business, Product, and Engineering to produce analysis, machine learning solutions, and scalable data practices. You’ll have the opportunity to significantly impact internal data consumption and decision making. We are a passionate team with a deeply analytical mindset, and your work will support us in our mission to be a world-class company driven by data.

What you'll work on:

• Drive data science efforts, communicate cross-functionally, and be a subject matter expert
• Create road maps and help prioritize data science work 
• Support the individual and career growth of team members to minimize attrition and maximize output
• Partner with product and operations teams to identify and resolve analytical problems at scale in a variety of domains, including crypto ecosystem understanding, fraud detection, and risk management
• Help your team ideate and execute on the right analysis, models, and stories
• Become an expert on data sources and flows at Circle
• Evangelize the power of data science to understand and improve our business and operations.

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:

• 12 years of industry experience working with and analyzing large data sets
• 5 years of experience with technical leadership and people management
• Knowledge of a scientific computing language (Python) and SQL
• Theoretical and applied expertise in statistics, experimental design, and analysis
• Strong communicator who can take complex ideas and methodologies, and simplify them for non-technical audiences
• Ability to understand complex business problems and break down analytics projects into a structured approach
• Track record of developing, managing, retaining data scientists individual contributors and managers
• Experience managing remote teams

Additional Information:

• This position is eligible for day-one PERM sponsorship for qualified candidates.