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    Data Science Manager - London, United Kingdom - DraftKings

    DraftKings
    DraftKings London, United Kingdom

    2 weeks ago

    Default job background
    Full time
    Description

    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 the Manager for our Trading Efficiency team, you and your team will help build a new 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 Data Science Manager

  • Communicate clear, actionable goals and expectations to the team, ensuring alignment with broader organizational goals.
  • Lead the design, development, and deployment of machine learning models and applications.
  • Provide regular actionable feedback and recognize team members' achievements.
  • Collaborate with other teams and stakeholders to ensure integration of machine learning solutions.
  • Take ownership of the design, development, maintenance, and testing strategy of trading automation solutions, ensuring alignment with overall business objectives
  • Drive the adoption of data-driven strategies into the trading processes​​​​

    • What you'll bring

  • Proficiency in programming languages such as Python and SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong leadership and communication skills to develop high-performing teams.
  • Strategic thinking and problem-solving abilities to guide project execution.
  • Ability to monitor and improve the performance of deployed models and applications.
  • Advanced degree (Master's or Ph.D.) in Computer Science, Data Science, Machine Learning, or a related field.
  • 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

    • #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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