Senior Level Associate Data Scientist Jobs
Senior level associate data scientist jobs call for professionals who own analytical frameworks end-to-end, set technical direction, and lead the teams or projects that turn complex data into decisions. Openings skew heavily toward 49% remote and hybrid arrangements across Technology & Software, Banking & Financial Services, and Fintech, with employers like SentiLink, Capital One, and Grindr hiring at this level now.
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Showing 5 of 153+ Senior Level Associate Data Scientist jobs
INTRODUCTION
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 Lead Data Scientist to build marketplace intelligence across Universal Ads, uncovering opportunities to improve supply efficiency, delivery performance, and marketplace growth. You'll work closely with Product, Publisher Partnerships, and Engineering to analyze the full advertising supply funnel, diagnose constraints and auction inefficiencies, and quantify opportunities to unlock incremental inventory, advertiser spend, and performance. Your insights will directly inform publisher strategy, supply investments, and product optimization priorities. The ideal candidate combines deep analytical and modeling expertise with a strong understanding of programmatic advertising, auction dynamics, and marketplace economics. This is a highly cross-functional, hands-on role with significant influence over Universal Ads' supply strategy, optimization roadmap, and marketplace growth.
Responsibilities:
- Analyze and build performance monitoring for our end-to-end advertising supply funnel, from available inventory and bid eligibility through auction wins, delivered impressions, and advertiser outcomes.
- Identify and quantify marketplace inefficiencies, including publisher restrictions, creative eligibility, deal configurations, auction competition, pricing floors, and drivers of campaign delivery.
- Partner with product to develop predictive models and analytical frameworks to identify delivery risks and opportunities to improve bidding, pacing, and inventory allocation.
- Develop supply and reach forecasting models to estimate inventory availability, campaign delivery capacity, and potential advertiser spend.
- Partner with Publisher Partnerships to identify high-value inventory, evaluate supply-demand gaps, and quantify the incremental revenue and performance potential of new publishers, markets, and supply integrations.
- Establish marketplace health metrics to monitor supply utilization, auction efficiency, delivery performance, and emerging growth opportunities.
- Translate complex analyses into actionable recommendations that inform product optimization priorities, publisher investments, and marketplace strategy.
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
SALARY:
New York Pay Range: $169,825.62 - $254,738.42
Additional Range: This job can be performed in Illinois with a Pay Range of $144,131.31 - $247,082.24. This job can be performed in California with a good faith estimated pay range upon hire of $127,369.21 USD - $235,868.90.
Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting 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
10 Years +
INTRODUCTION
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 Lead Data Scientist to build marketplace intelligence across Universal Ads, uncovering opportunities to improve supply efficiency, delivery performance, and marketplace growth. You'll work closely with Product, Publisher Partnerships, and Engineering to analyze the full advertising supply funnel, diagnose constraints and auction inefficiencies, and quantify opportunities to unlock incremental inventory, advertiser spend, and performance. Your insights will directly inform publisher strategy, supply investments, and product optimization priorities. The ideal candidate combines deep analytical and modeling expertise with a strong understanding of programmatic advertising, auction dynamics, and marketplace economics. This is a highly cross-functional, hands-on role with significant influence over Universal Ads' supply strategy, optimization roadmap, and marketplace growth.
Responsibilities:
- Analyze and build performance monitoring for our end-to-end advertising supply funnel, from available inventory and bid eligibility through auction wins, delivered impressions, and advertiser outcomes.
- Identify and quantify marketplace inefficiencies, including publisher restrictions, creative eligibility, deal configurations, auction competition, pricing floors, and drivers of campaign delivery.
- Partner with product to develop predictive models and analytical frameworks to identify delivery risks and opportunities to improve bidding, pacing, and inventory allocation.
- Develop supply and reach forecasting models to estimate inventory availability, campaign delivery capacity, and potential advertiser spend.
- Partner with Publisher Partnerships to identify high-value inventory, evaluate supply-demand gaps, and quantify the incremental revenue and performance potential of new publishers, markets, and supply integrations.
- Establish marketplace health metrics to monitor supply utilization, auction efficiency, delivery performance, and emerging growth opportunities.
- Translate complex analyses into actionable recommendations that inform product optimization priorities, publisher investments, and marketplace strategy.
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
SALARY:
New York Pay Range: $169,825.62 - $254,738.42
Additional Range: This job can be performed in Illinois with a Pay Range of $144,131.31 - $247,082.24. This job can be performed in California with a good faith estimated pay range upon hire of $127,369.21 USD - $235,868.90.
Comcast intends to offer the selected candidate base pay within the posted range for this role at the time of posting 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
10 Years +
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Who's Hiring
Top Industries Hiring
- Technology & Software76
- Banking & Financial Services23
- Fintech10
- Investment & Asset Management10
- Insurance6
Senior Level Associate Data Scientist Jobs: Frequently Asked Questions
How do I get a senior level associate data scientist job?
Employers at this level look for candidates who have independently owned modeling pipelines, mentored junior analysts, and delivered measurable business impact, not just technical accuracy. Strengthen your candidacy by showcasing end-to-end project ownership, cross-functional collaboration, and experience translating analytical findings into decisions that stakeholders acted on. A strong portfolio of production-ready work and evidence of technical leadership separates senior-level candidates from mid-level ones.
Which companies hire senior level associate data scientists?
Companies hiring senior level associate data scientists right now include SentiLink, Capital One, and Grindr, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to concentrate in organizations mature enough to have dedicated data science functions, including large enterprises, well-funded growth-stage companies, and analytics-driven consulting firms.
Are there remote senior level associate data scientist jobs?
Yes, remote and hybrid availability is strong at this level. About 49% of senior level associate data scientist openings are remote or hybrid as of November 2026, reflecting employer confidence that experienced data scientists can operate independently without on-site oversight. Fully on-site roles do exist, particularly in regulated industries where data governance and security requirements drive in-person expectations.
What makes an associate data scientist role senior level?
A senior level associate data scientist role is defined by scope and ownership. Where mid-level roles execute defined tasks, senior roles require setting the analytical approach, making architectural decisions, and being accountable for outcomes. Expect to mentor junior team members, engage directly with business stakeholders, and lead projects from problem definition through deployment, with limited day-to-day supervision from above.
Which industries hire the most senior level associate data scientists?
Senior level associate data scientist roles concentrate in Technology & Software, Banking & Financial Services, and Fintech, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they generate high volumes of complex data, face competitive pressure to act on analytical insights quickly, and have the organizational scale to support dedicated senior data science talent.