Head of Personalization ML & Data Science

DraftKings Inc.; Boston (MA); On-site; USD 190,000 - 270,000; Full time

Job summary

DraftKings Inc. in Boston seeks a Senior Data Science Engineering Manager, Marketing, to set strategy for how data science and ML power personalized experiences for millions of customers.

You will lead and grow a team of data scientists and ML engineers, translating opportunities into prioritized, scalable initiatives in partnership with Product, Engineering, Marketing, Revenue, and Data Science. You will own the full model lifecycle, establish rigorous standards for design, testing, deployment,

Qualifications

• Bachelor's degree in CS/DS/ML or related field.
• Advanced degree preferred for senior leadership role.
• Proven leadership experience in data science or ML engineering.

Responsibilities

• Lead and grow a high-performing team of data scientists and ML engineers.
• Set team strategy, roadmap, and priorities with measurable success metrics.
• Partner with Product, Engineering, Marketing, Revenue, and Data Science to align technical work with business goals.
• Guide full ML lifecycle from design to deployment and monitoring with rigorous standards.
• Influence architecture of model-driven experiences, data pipelines, and observability.
• Advance MLOps practices, automation, and reliable production deployment.
• Own capacity planning and resource allocation across initiatives.
• Foster culture of experimentation and continuous improvement.

Skills

Python

SQL

Data Platforms

Cloud Environments

Machine Learning

DevOps

Leadership

Communication

Experimentation

Education

Bachelor's degree in Computer Science, Data Science, Machine Learning, or related field

Advanced degree preferred

Job description

DraftKings Inc. in Boston seeks a Senior Data Science Engineering Manager, Marketing, to set strategy for how data science and ML power personalized experiences for millions of customers.

You will lead and grow a team of data scientists and ML engineers, translating opportunities into prioritized, scalable initiatives in partnership with Product, Engineering, Marketing, Revenue, and Data Science. You will own the full model lifecycle, establish rigorous standards for design, testing, deployment,