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Principal Data Scientist

New York; California; Remote

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Overview

Our analysts transform data into meaningful insights that drive strategic decision making. They analyze trends, interpret data, and discover opportunities. Working cross-functionally, they craft narratives from the numbers - directly contributing to our success. Their work influences key business decisions and shape the direction of Comcast.

Success Profile

What makes a successful Principal Data Scientist at Comcast? Check out these top traits and explore role-specific skills in the job description below.

  • Good Listener
  • Problem Solver
  • Organized
  • Collaborative
  • Perceptive
  • Analytical

Benefits

We’re proud to offer comprehensive benefits to help support you physically, financially and emotionally through the big milestones and in your everyday life.

  • Paid Time off

    We know how important it can be to spend time away from work to relax, recover from illness, or take time to care for others needs.

  • Physical Wellbeing

    We offer a range of benefits and support programs to ensure that you and your loved ones get the care you need.

  • Financial Wellbeing

    These benefits give you personalized support designed entirely around your unique needs today and for the future.

  • Emotional Wellbeing

    No matter how you’re feeling or what you’re dealing with, there are benefits to help when you need it, in the way that works for you.

  • Life Events + Family Support

    Benefits that support you no matter where you are in life’s journey.

Responsibilities

Principal Data Scientist

Location New York, California, Remote Req ID R424298 Job Type Full Time
Category Data Science Date posted 11/11/2025
Apply Now
Universal Ads, a part of Comcast, enables any brand, of any size, to seamlessly make and buy commercials across premium video reaching new qualified audiences at scale. Universal Ads combines premium and brand-safe video content directly from the most influential media companies with the ease and familiarity of social ad buying. It is your one-stop shop for high-quality video ads delivering performance and unmatched scale.

Job Summary

We’re looking for an experienced Data Scientist to join the Universal Ads team as our first dedicated data science hire. This role will help shape the foundation of Universal Ads’ measurement, attribution, targeting, and optimization systems, defining how advertisers understand and improve performance across premium video. You’ll work cross-functionally with Product, Engineering, and Data teams to design experiments and methodologies that power Universal Ads performance engine.

Job Description

Key Responsibilities

  • Experience navigating and working with large data sets, and designing and analyzing experiments

  • Develop experimentation and causal inference frameworks to quantify the impact of newproducts and advertiser-level performance ramps, including methods to address skewness and low-signal environments

  • Analyze large-scale identity, auction, and conversion datasets to uncover performance drivers,optimizeadvertiser ROI, and inform measurement and optimizationroadmap 

  • Support the development of advancedmeasurementmethodologies (e.g.Halo), collaboratingcloselywith Product and Engineeringto test,validate, and scale solutions

  • Translate analytical insights into production-ready features and system improvements

  • Stay current with advancements in data science, machine learning, and advertising technology, incorporating new methodologies and tools into the team’s workflow

  • Conduct rigorous analyses and communicate findings clearly to technical stakeholders, driving data-informed decisions across teams

  • Interacts and leads meetings with product and service teams to identify questions and issues for data analysis and experiments.

  • Provides consultative direction for use of analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization tools and machine learning techniques and statistics (e.g., predictive models, lifetime value, propensity models).

  • Researches, educates and applies knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.

  • Leads the development of customer centric models and optimization tools to support large scale projects that utilize online and offline data, structured and unstructured data, set top box data and media/behavioral/attitudinal data.

  • Consistent exercise of independent judgment and discretion in matters of significance.

Minimum Qualifications

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related quantitative field

  • 10+years of experience in data science, analytics, or applied statistics (or 5+ years with Ph.D.)

  • Proven ability to work with large, complex datasets

  • Proficiencyin Python, SQLor Rand statistical/machine learning libraries 

  • Strong understanding of experiment design, causal inference, and modeling techniques (e.g., regression, uplift modeling, Bayesian methods).

  • Experience with data visualization tools (e.g., Tableau, Looker,Plotly) and storytelling for non-technical audiences.

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. Comcast will consider for employment applicants with arrest or conviction records in accordance with the requirements of applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 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.


Skills:

Predictive Modeling; Statistical Analysis Techniques; Data Analysis; Big Data; Statistical Methods; Taking Initiative


Salary:

Primary Location Pay Range: $189,292.33 - $283,938.50

Additional Range: This job can be performed in California with a Pay Range of $181,405.15 - $295,769.27

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 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

15 Years +

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Hear from our people

“I love that Comcast has granted me the opportunities that I have. The company has done a lot to put me in the position that I’m in and I’d like to continue to give back to that.”

Matthew Data Analyst/Eng 1, Software Dev & Eng

Culture

At Comcast you can have work/life balance in an inclusive environment where you can be your authentic self.

Comcast provides many opportunities to build skills and grow in your career and a top-notch benefits, time off and perks package.

We are committed to delivering reliable, effortless experiences to our customers no matter how they choose to interact with us.

You will build personal relationships on a growing team that while making Xfinity a best-in-class, most-loved brand.

More About Comcast

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