Senior Data Science Engineer

5 Minutes ago • All levels
Data Analysis

Job Description

DraftKings is seeking a Senior Data Science Engineer to drive AI initiatives within its Sports Intelligence team. This role involves developing advanced models and algorithms, analyzing large datasets, and providing actionable insights to enhance product offerings and business operations. The engineer will lead projects from conception to deployment, integrate solutions into production systems, and mentor junior data scientists. Key responsibilities include building complex low-latency systems for data science decision-making at scale, focusing on automation and efficiency within the Sportsbook. The ideal candidate will have a strong foundation in machine learning, statistical modeling, and proficiency in Python or R.
Good To Have:
  • Experience in developing and implementing automated trading or decision-making systems.
  • Experience with Kubernetes.
  • Experience with Kafka.
  • Experience with Databricks.
  • Experience with experimentation.
Must Have:
  • Lead 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.
  • Mentor junior data scientists and provide guidance on best practices and methodologies.
  • 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.
  • Proven experience in data science, with a strong foundation in machine learning and statistical modeling.
  • Experience developing LSTM-based models for sequential forecasting or behavioral modeling.
  • Familiarity with probabilistic graphical models (e.g., Bayesian networks, Markov random fields) for structured data relationships.
  • 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.
  • A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline.

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At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.

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.

As a Senior Data Science Engineer at DraftKings, you will play a pivotal role in driving our data science initiatives forward. 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 Senior Data Science Engineer

  • Lead 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.
  • Mentor junior data scientists and provide guidance on best practices and methodologies.
  • 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.
  • Experience developing LSTM-based models for sequential forecasting or behavioral modeling.
  • Familiarity with probabilistic graphical models (e.g., Bayesian networks, Markov random fields) for structured data relationships.
  • 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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