Senior Lead Data Science Engineer, Personalization

DraftKings Inc.•Boston, MA

27d

About The Position

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 As a Senior Lead Data Science Engineer, 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. 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.

Requirements

Master's degree or PhD in a relevant field such as Computer Science, Statistics, or Mathematics is preferred.
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, and experience with data manipulation and visualization tools.
Experience with personalization algorithms and techniques, and a strong understanding of their application in content delivery.
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.
Familiarity with user behavior analysis and its integration into content and product strategies.

Responsibilities

Develop and implement advanced statistical models and machine learning algorithms to analyze large datasets and extract meaningful insights.
Collaborate with cross-functional teams, including product, engineering, and marketing, to understand business needs and translate them into data science solutions.
Communicate complex analyses and insights to technical and non-technical stakeholders, influencing strategic decision-making.
Ensure the quality and integrity of data used for analysis, and drive the development of data infrastructure and tools.
Lead and mentor a team to innovate and experiment with new data-driven approaches to content generation and user engagement.