Sr. Data Scientist - Virtual - Freewheel
Listed on 2026-07-15
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Comcast Advertising is driving the TV advertising industry forward, from delivering ads to linear and digital audiences to pioneering the tech that makes it possible. We help brands connect with their audiences on every screen using advanced data, technology, and premium video content. Our media sales division helps local, regional, and national brands reach potential customers through multiscreen TV advertising. Our ad tech division Free Wheel provides comprehensive adtech that makes it easier to buy and sell premium video advertising across all screens, data types, and sales channels.
Job SummaryThe Sr Data Scientist is a senior technical leader and recognized subject matter expert responsible for architecting and delivering enterprise AI/ML solutions. This role leads multiple strategic initiatives, partners across Product, Engineering, and MLOps, mentors technical teams, and drives the adoption of advanced AI capabilities.
Job Description- Lead multiple data science initiatives and architect scalable AI/ML, optimization, and Generative AI solutions for complex business problems.
- Design and implement advanced statistical, machine learning, optimization, forecasting, recommendation, and AI models that deliver measurable business value.
- Partner with Engineering and MLOps to develop production‑ready AI solutions, model monitoring, and deployment best practices.
- Define technical approaches, establish data science standards, and evaluate emerging AI technologies.
- Lead cross‑functional programs, influence technical strategy, and communicate complex analytical concepts to business and executive stakeholders.
- Mentor and develop junior data scientists while fostering technical excellence and innovation across the organization.
- Bachelor’s degree required;
Master’s or Ph.D. preferred in a quantitative field. - 4+ years of relevant experience.
- Demonstrated expertise across multiple AI/ML techniques, with specialization in areas such as optimization, forecasting, recommendation systems, pricing, attribution, or supply chain analytics.
- Experience building production AI solutions and partnering with Engineering/MLOps.
- Experience with Generative AI, LLMs, or agentic AI solutions.
- Excellent technical leadership, communication, and stakeholder management skills.
- Collaborating with product and service teams to define data‑driven questions and design experiments for complex analysis.
- Leading the development and coding of algorithms and automated processes for data cleansing and integration from varied sources.
- Applying advanced statistical methods and machine learning techniques to extract actionable insights from large datasets.
- Creating statistical and mathematical models to address sophisticated business issues and support broader initiatives.
- Architecting data mining models and methodologies, and executing statistical analyses to identify trends in big data.
- Analyzing behavioral data to discern historical customer behavior patterns and product performance insights.
- Building predictive models based on historical data to forecast customer behavior and guide business strategy.
- Formulating strategic recommendations and tactical plans by leveraging data science techniques on complex business data.
- Researching and implementing emerging data science principles and techniques to inform and enhance business decisions.
- Communicating analytical methodologies and results through comprehensive deliverables and stakeholder presentations.
- Consistent exercise of independent judgment and discretion in matters of significance.
- Regular, consistent and punctual attendance. Must be able to work nights and weekends, variable schedule(s) as necessary.
- Other duties and responsibilities as assigned.
- Master's Degree preferred.
- 7-10 Years
National Pay Range: $93,062.99 – $ USD.
Benefits and CompensationComcast offers base pay within the stated range, along with bonuses, commissions (for sales positions), and best‑in‑class benefits. For more details, please visit the compensation and benefits summary on our careers site.
Equal Opportunity EmploymentComcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law. Comcast will consider applicants with arrest or conviction records in accordance with applicable law. Please note that federal, state, or local laws and regulations may restrict or prohibit Comcast from hiring individuals convicted of certain crimes.
Additionally, an applicant’s criminal history may have a direct, adverse, and negative relationship on the job duties of this position, which may result in the withdrawal of a conditional offer of employment.
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