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Lead Data Scientist - NYC - Hybrid - Freewheel

Comcast

New York, NY · HybridJob$165–247K/yrSeen 1w agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$165–247K/yr
Location
New York, NYHybrid
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

FreeWheel, a Comcast company, provides advertising platforms for publishers, advertisers, and media buyers. This role leads data science work on complex business problems, including analysis projects, predictive modeling, and team mentoring. It advises the organization on data-driven improvements and applies statistical and machine learning approaches to inform business strategy. A master’s degree is preferred, though coursework and experience or extensive related professional experience may also be considered.

Skills & qualifications

RequiredNice to have

Skills

Machine LearningPredictive ModelingStatistical ModelsData ScienceActionable InsightsStatistics

Qualifications

Master's Degree5+ Years Experience

Full job description

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. As a global company, we have offices in nine countries and can insert advertisements around the world.

Job Summary

This job leads in leveraging advanced data science to address intricate business problems, driving strategic insights and actions. It involves guiding data analysis projects, developing predictive models, and mentoring teams. The role serves as an expert advisor, shaping data-driven business improvements.

Job Description

Responsibilities:

  • Leading cross-functional collaboration with product and service teams to determine data analysis and experimental needs

  • Designing and implementing software, algorithms, and automated processes for data integration and cleansing from diverse sources

  • Applying statistical methods and machine learning techniques to analyze large datasets, extracting actionable insights for business strategy

  • Developing statistical and mathematical solutions to complex business problems, informing strategic initiatives

  • Creating data mining architectures and statistical reporting to identify trends and patterns in extensive datasets

  • Overseeing analysis of customer behavior and product performance, leveraging historical data insights for predictive modeling

  • Conducting predictive analytics to anticipate customer behavior, supporting business decisions with data-driven forecasts

  • Researching and applying emerging data science principles to enhance business outcomes, acting as an organizational advisor

  • 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.

Employees at all levels are expected to:

  • Understand our Operating Principles; make them the guidelines for how you do your job.

  • Own the customer experience think and act in ways that put our customers first, give them seamless digital options at every touchpoint, and make them promoters of our products and services.

  • Know your stuff be enthusiastic learners, users and advocates of our game-changing technology, products and services, especially our digital tools and experiences.

  • Win as a team make big things happen by working together and being open to new ideas.

  • Be an active part of the Net Promoter System a way of working that brings more employee and customer feedback into the company by joining huddles, making call backs and helping us elevate opportunities to do better for our customers.

  • Drive results and growth.

  • Support a culture of inclusion in how you work and lead.

  • Do what's right for each other, our customers, investors and our communities.

Disclaimer: This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast 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.

Skills:

Machine Learning (ML); Predictive Modeling; Statistical Models; Data Science; Actionable Insights; Statistics

Salary:

New York Pay Range: $164,721.49 - $247,082.24

Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary (https://jobs.comcast.com/benefits) on our careers site for more details.

Education

Master'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.

Relevant Work Experience

5-7 Years

Job Family Group: Enterprise Analytics & Data Intelligence

How this job compares

Set against the 5,105 open Data Scientist jobs on Olive Jobs, counted October 29, 2026.

Pay
  • This posting$165–247K/yr
  • New York median$149–211K/yr366 salary ranges
  • US median$135–216K/yr4,092 salary ranges

This range's midpoint, $206K, is 11% above the New York median midpoint ($185K) — in the middle half of Data Scientist salary ranges in New York.

Openings
Olive Jobs lists 468 open Data Scientist jobs in New York and 5,105 across the US. 6% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Data Scientist postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 6 years (4,402 postings).
Education
2,829 of the 5,105 open Data Scientist jobs (55%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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