Data Science Manager, Marketing

As a Data Science Manager, you drive strategy and execution to power personalized experiences for millions of customers. You'll lead a team of data scientists and machine learning engineers, guiding projects from concept through production and delivering scalable, high-performing machine learning systems. In this role, you'll work closely with our Product, Engineering, Marketing, and Revenue teams to align priorities and drive measurable impact. Beyond execution, you'll set strategic direction, foster a culture of innovation, and raise the technical standards across the organization.

• Manage, coach, and grow a team of data scientists and engineers focused on delivering impactful personalization initiatives.
• Guide your team through the Model Development Lifecycle (SDLC), championing technical rigor and engineering best practices.
• Partner with Product, Engineering, and business stakeholders to scope projects, prioritize work, and deliver high-value, data-driven solutions.
• Foster a team culture of collaboration, experimentation, and continuous improvement.
• Conduct regular performance evaluations, deliver constructive feedback, and identify opportunities for growth and development.
• Set strategic priorities and align your team’s roadmap with larger business goals and outcomes.
• Promote software engineering and MLOps best practices, including automation, containerization, monitoring, and testing.
• Stay current on trends in machine learning, personalization, and gaming to continuously evolve our capabilities.

• Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field; advanced degree preferred.
• At least 5 years of experience in data science or machine learning engineering, including 2 or more years in a formal leadership or management role.
• Proven expertise in Python and SQL, with experience working across modern data platforms and cloud environments.
• Strong understanding of the Software Development Lifecycle and experience leading teams through delivery cycles.
• Hands-on experience with machine learning systems, statistical modeling, and experimentation frameworks.
• Deep familiarity with DevOps and MLOps concepts, including containerization, automation, and production monitoring.
• Exceptional communication and collaboration skills, with the ability to influence cross-functional teams and executives.
• Experience in the gaming industry or a related domain is a strong plus.

• Comprehensive health benefits, including various medical plans, dental, and vision.
• Free access to wellbeing programs such as free therapy sessions with Lyra Mental Health Solution, Lyra Employee Assistance Program, the Calm App, Virtual Yoga Classes, and many more.
• 14 weeks of 100% paid parental leave to all global team members and workplace lactation support.
• Partnership with Care.com for care finder and backup childcare for U.S. employees.
• Benefits supporting family planning, including adoption, surrogacy, fertility treatments.
• Flexible PTO for employees in the United States.
• Pet insurance for vet expenses.
• Gym reimbursement for part of gym membership once enrolled in a health insurance plan.
• Financial planning support, including 401(k) matching and programs such as Origin Financial.
• Commuter benefits to help lower costs on daily commute.
• Tuition Reimbursement Program for eligible team members for educational courses related to their positions or another position at DraftKings.