Product Manager II, Data Science - Enterprise Tools

We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming.
Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers.
The Crown Is Yours
As a Product Manager II on the Data Science Product Management Team, you'll drive the strategy and roadmap for Enterprise Data Science tools, focusing on Experimentation and Machine Learning (ML) Platform tools used by our Data Science (DS) and Analytics teams. You will manage the creation and prioritization of the ML Platform and MLOps strategy, ensuring seamless model building, deployment, and maintenance. You'll also scale best practices, organize training, and build documentation to enhance knowledge on MLOps and experimentation across teams.
What you'll do as a Data Science Product Manager II

• Drive adoption of MLOps frameworks and onboarding to the ML platform.
• Collaborate with other DS product managers to build a backlog of capabilities within our ML platform that meets business needs.
• Ensure execution runs smoothly within the ML Engineering team and across partner teams, breaking down the roadmap into the product backlog, supporting user stories, acceptance criteria, and creating interaction models to stay on track.
• Develop a roadmap for experimentation platforms and tools.
• Scale experimentation best practices and adoption across teams.
• Organize training and build documentation to scale knowledge on MLOps and Experimentation.

What you'll bring

• Bachelor's Degree in Mathematics, Computer Science, Business Analytics, or a related field.
• At least 3 years of relevant experience, preferably in a Data Science or quantitative domain, working with engineering and data teams on technical projects.
• Experience with Databricks and leveraging it for scaling ML workflow and familiarity with feature store technologies and management of features in ML workflow.
• Knowledge of Snowflake and other data platform and pipeline technologies.
• Strong comprehension of a/b testing and other forms of experimentation and testing.
• Experience creating clear product requirements and technical specifications.
• Ability to communicate effectively with data scientists, understand ML workflow, and explain technical concepts to non-technical stakeholders.

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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.
The US base salary range for this full-time position is 113,400.00 USD - 141,800.00 USD, plus bonus, equity, and benefits as applicable. Our salary ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related sills, experience, and relevant education or training. Your recruiter can share more about the specific salary range and how that was determined during the hiring process.