Data Scientist, Freewheel
Comcast
New York, NY0–2 yrs36m agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- SalesData analysisData structures & algorithmsMachine learningStatisticsBudgeting
- Work
- On-site in New York
- Pay
- Not stated by the employer.
- Skill demand
- Machine learning59%Data analysis46%Data structures & algorithms25%Sales2%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 9, 2026 · still open
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About the Role
FreeWheel, a Comcast company, provides comprehensive ad platforms for publishers, advertisers, and media buyers. Powered by premium video content, robust data, and advanced technology, we’re making it easier for buyers and sellers to transact across all screens, data types, and sales channels. This role will join our Audience Revenue Science Team.
Key Responsibilities
- Collaborating with cross-functional teams to define data analysis problems and design experiments
- Engineering software solutions and algorithms for data cleansing, integration, and analysis
- Utilizing advanced statistical methods and machine learning to derive actionable insights from big data
- Implementing statistical and mathematical models to address complex business challenges
- Constructing data mining frameworks and conducting trend analysis for strategic decision-making
- Analyzing complex datasets to identify historical patterns in customer and product behaviors
- Building predictive models to forecast customer actions and guide business planning
- Synthesizing findings from data science research to inform and optimize business processes
- Presenting data-driven insights and recommendations through clear, comprehensive deliverables
Requirements & Tech Stack
- Machine Learning (ML)
- Data Visualization
- Applied Machine Learning
- Data Science
- Structured Query Language (SQL)
- Analytical Thinking
- Python (Programming Language)
Qualifications
- Bachelor's Degree
- While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.