Lead Data Science Engineer - Trading Efficiency Team

We’re defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.

Here, “impossible” isn’t part of our vocabulary. You’ll face some of the toughest but most rewarding challenges of your career. They’re worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.

The Crown Is Yours

As a Lead Data Science Engineer for our Trading Efficiency team, you will be part of a new team that will build a platform that will help optimize efficiency and build automation within our Sportsbook. You’ll build complex low latency systems to support data science decision-making at scale, to unlock more value for the business. This team is part of our Sports Intelligence group which plays a critical role in developing solutions that power our platforms and drive our business forward.

 What You'll Do as a Lead Data Science Engineer

• Lead and mentor a team of data scientists and engineers to achieve high-impact business goals.

• Develop and implement advanced machine learning models and algorithms to solve complex business problems.

• Collaborate with cross-functional teams to integrate data science solutions into production systems.

• Drive the adoption of data-driven strategies into the trading processes​​​​

• Drive the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives

• Communicate findings and recommendations to senior leadership to influence strategic decision-making.

What You'll Bring

• Extensive experience in data science, machine learning, and statistical modeling, with a proven track record of leading successful projects.

• Proficiency in programming languages such as Python or R, and experience with data manipulation and visualization tools.

• Strong leadership skills with the ability to mentor and develop a high-performing team.

• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

• A Master's or PhD in a relevant field such as Computer Science, Statistics, or Mathematics is preferred.

• Experience with typical DevOps flows, such as containerisation and monitoring

• Experience in developing and implementing automated trading or decision-making systems is highly desirable​​​​

• Experience with Kubernetes and Kafka are desirable

• Experience with Databricks is desirable

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Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.