Lead Data Scientist - Hybrid - Freewheel

Salary: $164,721.49 - 247,082.24 per year Requirements:

• Masters degree preferred; we may also consider a combination of coursework and experience or extensive related professional experience.
• 5–7 years of relevant work experience.
• Skills in machine learning, predictive modeling, statistical models, data science, statistics, and generating actionable insights.

• Lead collaboration with product and service teams to identify data analysis and experimentation needs.
• Design and implement software, algorithms, and automated processes to integrate and cleanse data from varied sources.
• Use statistical methods and machine learning to analyze large datasets and generate insights for business strategy.
• Develop statistical and mathematical solutions to complex business problems and inform strategic initiatives.
• Create data-mining architectures and statistical reports to identify trends and patterns in large datasets.
• Oversee analysis of customer behavior and product performance, using historical data to support predictive modeling.
• Conduct predictive analytics and provide data-driven forecasts to support business decisions.
• Research and apply emerging data science principles to improve business outcomes, advising the organization as an expert.
• Exercise independent judgment and discretion in significant matters, and perform other duties as assigned.
• Follow our operating principles, prioritize customer experience, learn and advocate for our technology and services, collaborate as a team, contribute to customer and employee feedback efforts, drive results and growth, foster inclusion, and act in the interests of our colleagues, customers, investors, and communities.

• Support
• Machine Learning

More:

We are Comcast, working with hackajob to connect exceptional professionals with this opportunity at FreeWheel, a Comcast company. FreeWheel provides advertising platforms for publishers, advertisers, and media buyers, using premium video content, data, and technology to support transactions across screens, data types, and sales channels. We operate globally, with offices in nine countries. This role is based in New York, with a stated pay range of $164,721.49–$247,082.24; the selected candidates base pay will depend on job-related, nondiscriminatory factors such as experience. The application window is generally 30 days from posting, though it may vary based on applicant volume. Eligible employees receive a total rewards package that may include a bonus for most non-sales positions and benefits with options and guidance to support physical, financial, and emotional well-being. We are an equal opportunity workplace and consider qualified applicants in accordance with applicable law. The description outlines the general nature and level of the role and is not a comprehensive inventory of all duties or qualifications.

last updated 42 week of 2026