Data Scientist Intern-Circle

Website Circle

51-200

Circle is a global financial technology firm that enables businesses of all sizes to harness the power of stablecoins and public blockchains for payments, commerce and financial applications worldwide. Circle’s platform has supported over 100 million transactions worth tens of billions of dollars, with nearly 10 million retail customers, over a thousand businesses, while storing and securing more than $5 billion in digital currency assets. Circle is also the creator of USD Coin (USDC), the fastest growing, regulated, fully-reserved stablecoin, which now stands at a 3+ billion market cap and is adding more than 100 million net new digital dollars in circulation every week. Today, Circle’s transactional services, business accounts, and platform APIs are giving rise to a new generation of financial services and commerce applications that hold the promise of raising global economic prosperity for all through programmable internet commerce.

What you’ll be part of:

With the mission “To raise global economic prosperity through programmable internet commerce,” Circle was founded on the belief that blockchains and digital currency will rewire the global economic system, creating a fundamentally more open, inclusive, efficient and integrated world economy. We envision a global economy where people and businesses everywhere can more freely connect and transact with each other with new technologies for digital money. We believe such a system can raise prosperity for people and companies everywhere. Our mission is powered by the values we espouse and which we expect all Circlers to respect. We are Multistakeholder, serving the needs of our customers, our shareholders, our employees and families, our local communities and our world. Furthermore, we are also Mindful, Driven by Excellence, and High Integrity.

What you’ll be responsible for:

As a Data Scientist Intern at Circle, you’ll work closely with Engineers productizing machine learning solutions and scalable data pipelines that support these solutions. You’ll have the opportunity to help impact internal data consumption and decision making within fraud risk. 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:

    • Support and partner with product and operations teams to identify and resolve analytical problems at scale in a variety of domains, including fraud detection, risk management and customer support optimization
    • Help create and maintain predictive models using a variety of machine-learning techniques that guide our fraud prevention and compliance guidelines
    • Assist in implementing, maintaining and optimizing model deployment lifecycle
    • Contribute to analytics projects across Circle teams, with involvement from data collection all the way to presentation and decision support
    • Partner with engineers to ensure that data is appropriately identified, recorded, transformed, and furnished for consumption

 

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:

    • Knowledge of one or more of the following analytics tools: Pandas / SciPy, R or SAS, as demonstrated by at least one year of professional experience
    • Experience in SQL
    • Hands-on experience with common software development flows and tools (Linux, git, AWS), as well as deploying models into production (Spark, MLeap and PMML)
    • Ability to understand business problems and break down analytics projects into a structured approach

 

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.

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