Senior Data Science Engineering Manager, Marketing

About the Position

We're seeking a Senior Data Science Engineering Manager, Marketing to lead and grow a team of data scientists and machine learning engineers at DraftKings.

Responsibilities

• Lead, coach, and develop a high-performing team of data scientists and machine learning engineers, strengthening the technical and leadership capabilities needed to deliver personalization initiatives at scale.
• Set your team’s strategy, roadmap, and priorities, translating business goals and ambiguous opportunities into high-impact data science and machine learning initiatives with clear measures of success.
• Partner with senior leaders across Product, Engineering, Marketing, Revenue, and Data Science to identify opportunities, navigate tradeoffs, and connect technical decisions to customer and business outcomes.
• Guide the development and deployment of machine learning systems across the full model development lifecycle, establishing rigorous standards for design, development, testing, deployment, monitoring, and iteration.
• Influence the architecture of model-driven experiences, including data pipelines, feature generation, experimentation, batch and real-time serving, observability, and model lifecycle management.
• Advance software engineering and machine learning operations practices across the team, including automation, containerization, testing, monitoring, and reliable production deployment.
• Own capacity planning and resource allocation, balancing business value, technical investment, operational needs, and team capacity while adjusting priorities as opportunities and risks evolve.
• Build a culture of experimentation, technical excellence, and continuous improvement that empowers your team to solve increasingly complex challenges and deliver measurable impact.

Requirements

• A Bachelor’s Degree in Computer Science, Data Science, Machine Learning, or a related field; an advanced degree is preferred.
• At least 10 years of experience in data science or machine learning engineering, including at least 5 years of formal people leadership or management experience.
• Advanced proficiency in Python and SQL, along with experience working with modern data platforms and cloud environments.
• Deep knowledge of machine learning systems, statistical modeling, experimentation frameworks, and the software development lifecycle.
• Experience applying software engineering, DevOps, and machine learning operations practices, including containerization, automation, testing, deployment, and production monitoring.
• Strong communication and leadership skills, with the ability to influence cross-functional partners and senior leaders, navigate competing priorities, and clearly communicate technical decisions, risks, tradeoffs, and business impact.
• Experience in gaming or a related industry is a plus.

We Offer

• Competitive salary (information pending due to a technical error)
• Comprehensive health benefits, including medical, dental, and vision
• Free access to wellbeing programs such as therapy sessions, virtual yoga classes, and more
• 14 weeks of 100% paid parental leave
• Workplace lactation support
• Pet insurance
• Gym reimbursement
• Financial planning assistance
• Commuter benefits
• Tuition reimbursement

About the Company

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. 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.

DraftKings is proud to be an equal-opportunity employer. We do not tolerate discrimination of any kind and are committed to providing equal employment opportunities regardless of your gender identity, race, nationality, religion, sexual orientation, status as a protected veteran, or status as an individual with a disability.

Ready to Own What's Next?

We know finding a new job can be intimidating. Don't let imposter syndrome stop you from applying! Even if you don't think you tick off every box in this job description, we'd still love for you to apply or join our Talent Community.

Location: Boston, MA

Employment Type: Full time