Lead Data Science Engineer, Personalization and Search

2 weeks ago

Braintree, United States DraftKings Full time

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 at DraftKings, you will leverage your expertise in data science and analytics to drive impactful projects to create the most relevant product in the Sportsbook industry. Your work will be critical to deeply integrate our data science-powered understanding of the customer within our content engine and platforms. This will include working with recommender systems and improving our search capabilities.

You will leverage your expertise in data science and leadership to drive impactful projects to create the most relevant product in the Sportsbook 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. 

 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.

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

  • Innovate and experiment with new data-driven approaches to content generation and user engagement.

  • Designing and deploying algorithms and models for information retrieval and re-ranking.

What You'll Bring

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

  • Experience with Semantic Search approaches and Vector Databases

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

  • Experience with personalization algorithms and techniques, and a strong understanding of their application in content delivery.

  • Experience with real time deployments of personalization systems is desirable.

  • 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.

  • Familiarity with user behavior analysis and its integration into content and product strategies.


 

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.

The US base salary range for this full-time position is 140,800.00 USD - 176,000.00 USD, plus bonus, equity, and benefits as applicable. Our salary ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related sills, experience, and relevant education or training. Your recruiter can share more about the specific salary range and how that was determined during the hiring process.

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