Lead Data Science Engineer, Personalization

DraftKings • Boston, MA

2d

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 Lead Data Science Engineer, Personalization, you will play a pivotal role in driving the strategic direction and technical execution of creating data-driven, predictive, and personalized customer experiences. You will lead initiatives and execute alongside a team of talented data scientists and engineers, leveraging your technical expertise and leadership skills to deliver impactful solutions. You'll work across the full stack of machine learning development, including model training, evaluation, deployment, and serving.

Requirements

• Master's degree or PhD in a relevant field such as Computer Science, Statistics, Mathematics, or Data Science is preferred.
• At least 5 years of experience in 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.
• Familiarity with user behavior analysis and its integration into content and product strategies.
• Strong leadership skills with the ability to mentor and coach individual contributors.
• Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders.

Responsibilities

• Lead initiatives related to Casino & Sportsbook Personalization 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, leveraging techniques such as supervised learning, reinforcement learning, and generative AI.
• Work with stakeholders to understand business and customer-facing problems and translate these into machine learning problems.
• Collaborate with cross-functional teams to integrate data science solutions into production systems.
• Drive the data strategy by identifying key data needs, ensuring data quality, and developing data infrastructure.
• Communicate findings and recommendations to senior leadership to influence strategic decision-making.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees