Senior Data Science Engineering Manager, Marketing

National Geographic; Boston (MA); On-site; USD 180,000 - 260,000; Full time

Job summary

DraftKings Inc. in Boston seeks an experienced Head of Data Science to lead a high‑performing team of data scientists and ML engineers.

You will set the strategy, roadmap, and priorities for personalization initiatives at scale, translating business goals into high‑impact data science programs. You will guide the development and deployment of ML systems across the full lifecycle, partnering with Product, Engineering, Marketing, Revenue, and Data Science to connect technical decisions to business

Qualifications

• Bachelor’s degree in CS, data science, ML, or related field; advanced degree preferred.
• At least 10 years in data science or ML engineering with ≥5 years people leadership.
• Experience leading teams from technical direction to production deployment and optimization.

Responsibilities

• Lead, coach, and develop a high-performing data team.
• Set strategy, roadmap, and priorities for initiatives.
• Partner with senior leaders to align tech decisions with business outcomes.
• Guide ML systems across full model lifecycle.
• Influence architecture of model-driven experiences and data pipelines.
• Advance MLOps, automation, testing, and production deployment.
• Own capacity planning and allocate resources.

Skills

People leadership

Mentoring

Strategic thinking

Communication

Cross-functional collaboration

Model lifecycle

Education

Bachelor's degree in Computer Science / Data Science

Advanced degree preferred

Tools

Python

SQL

Cloud platforms (AWS/GCP)

Data platforms (Spark, Snowflake)

Job description

What you’ll do

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.

What you’ll bring

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.

Proven experience leading data science or machine learning teams through complex initiatives, from setting technical direction through production deployment and ongoing optimization.

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.

Join Our Team

We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.

If this job posting does not include compensation information, this is due to a technical error that our team is working to resolve! We will repost this position with compensation information as soon as it is resolved.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

DraftKings Inc. (Nasdaq: DKNG) is a digital sports entertainment and gaming company. It’s simple, at DraftKings, we believe life’s more fun with skin in the game. For that reason, we’re committed to responsibly creating the world’s favorite games and betting experiences. Headquartered in Boston, with offices around the globe, we believe we can continue to define what it means to be a technology company in sports entertainment. We love what we do, and think you will too.