Data Science Manager, Marketing

Data Science Manager

The Crown Is Yours 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. You’ll work closely with Product, Engineering, Marketing, and Revenue teams to align priorities and drive measurable impact.

• 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 Dev Ops 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.

The US base salary range for this full‑time position is $ to $ USD, plus bonus, equity, and benefits as applicable. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations.