Data Science Engineer

2 Months ago • All levels • Data Analyst

About the job

Job Description

Data Science Engineer at DraftKings, London, UK. Build and deploy data science solutions, develop statistical models and machine learning algorithms, and work with cross-functional teams. Must have experience in data science, machine learning, statistical modeling, Python or R, and data manipulation & visualization.
Must have:
  • Data Science
  • Machine Learning
  • Statistical Modeling
  • Python or R
Good to have:
  • Automated Trading
  • Kubernetes
  • Kafka
  • Databricks
Perks:
  • Global Team
  • Cutting-edge Products

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

DraftKings is a leader in the digital sports entertainment and gaming industry. We provide a world-class, immersive experience for our users and are at the forefront of technological innovation in the industry. Our Sports Intelligence team plays a critical role in developing solutions that power our platform and drive our business forward. We are forming a new unit focused on driving automation and efficiency 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. You will be responsible for developing advanced models and algorithms, analyzing large datasets, and providing actionable insights to enhance our product offerings and business operations.

What You'll Do as a Data Science Engineer

  • Work on data science projects from conception to deployment, ensuring high-quality and timely delivery.

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

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

  • Communicate technical findings and insights to internal stakeholders to support data-driven decision-making.

  • Assist with the adoption of data-driven strategies into the trading processes

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

What You'll Bring

  • Proven experience in data science, with a strong foundation in machine learning and statistical modeling.

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

  • Demonstrated ability to break down complex problems into manageable tasks and deliver high-quality results.

  • Excellent problem-solving skills and the ability to work collaboratively in a team environment.

  • 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

  • Experience with experimentation is desirable

  • A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.

#LI_SM1

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.

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About The Company

Las Vegas, Nevada, United States (On-Site)

Las Vegas, Nevada, United States (On-Site)

Dublin, County Dublin, Ireland (On-Site)

Las Vegas, Nevada, United States (On-Site)

Boston, Massachusetts, United States (On-Site)

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)

Hoboken, New Jersey, United States (On-Site)

United States (Remote)

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