Senior Data Scientist - Machine Learning

Status
San Francisco, USA
Full time
Remote
Compensation is not specified
Role
Data Scientist
Description

Circle is a financial technology company leading the way in the realm of digital finance. We are dedicated to advancing the internet of money, fostering global value transfer that rivals traditional systems in speed and cost efficiency. By empowering payments, commerce, and markets, we envision elevating global economic prosperity and fostering broader inclusion.

What You'll Be Part of:

Joining Circle means being part of a culture that thrives on transparency, stability, and continual growth. Our organization values speed and efficiency while upholding core principles such as Multistakeholder, Mindfulness, Driven by Excellence, and High Integrity. In a remote setting, our team adapts and collaborates to achieve collective success in a diverse and encouraging work environment that values innovation and ownership.

What You'll Be Responsible For:

As the initial hire for Data Science and Machine Learning at Circle, you will focus on key challenges including uncovering potentially illicit transactions and actors, as well as optimizing reserve allocation to mitigate systemic risks within the company. Your role involves developing advanced methods to address these critical issues and delving into additional exploratory research to understand and visualize the problems at hand. While the core focus is on machine learning applications, there will be opportunities to leverage data science for various problem-solving approaches beyond solely machine learning.

What You'll Work On:

You will take ownership of identifying illicit transactions and optimizing reserve balances, collaborating with cross-functional teams to develop effective models and monitor their success in production. Additionally, you will tackle valuable machine learning problems, identify pertinent data, create meaningful metrics, and construct data pipelines and models for powerful insights. Analyzing customer behavior, deriving insights, and influencing product decisions are vital aspects of your role. Engaging in deep analyses, building models, and communicating insights to stakeholders will be integral to your responsibilities. Moreover, you will investigate blockchain activity, leading to a comprehensive understanding of trading behavior and the broader crypto landscape, particularly within the context of USDC.

Aspiring to Our Core Values:

  • Multistakeholder: Dedicated to customers, shareholders, employees, and communities.
  • Mindful: Respectful, attentive, and detail-oriented.
  • Driven by Excellence: Laser-focused on mission and customer success.
  • High Integrity: Prioritizing open and honest communication at a high ethical standard.

What You'll Bring to Circle:

  • Over 5 years of experience in data analysis and data science, with a notable focus on machine learning issues.
  • Strong proficiency in SQL and a programming language like Python or R for effective data manipulation.
  • Deep expertise in machine learning theory and applications.
  • Demonstrated success in developing and implementing productionalized machine learning models.
  • Excellent analytical skills, problem-solving abilities, and keen attention to detail.
  • Effective communication skills to convey complex findings to diverse audiences.

Additional Information:

  • Position offers day-one PERM sponsorship for suitable candidates.
  • Compensation considers various factors like relevant experience and skills.
  • Base Pay Range: $147,500 - $195,000, with an Annual Bonus Target of 12.5%.
  • Benefits include Equity, Medical, Dental, Vision, and 401(k) options, with a flexible vacation policy and paid leave.

Circle is proud to be an equal opportunity remote employer, valuing diversity and inclusion in our workforce. We do not discriminate based on factors such as race, religion, gender, or disability status. Join us on our journey to shape an inclusive financial future with transparency at its core.

Skills Required
Avatar
Circle
Company size
Not specified
Location
United States
Description
Not specified
Status

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