Lead Data Scientist, Marketplace Intelligence & Optimization

Lead Data Scientist, Marketplace Intelligence & Optimization### Lead Data Scientist, Marketplace Intelligence & Optimization Apply:
NY
- New York, 55 W 46th St, FL 33 & 34:
CA
- Virtual - D:
IL
- Virtual - C+:
PA
- Virtual - D:
CA
- Virtual - D+:
Full time:
Posted Today:
R448514

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 versal 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.
** Job Description
**** 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.
** Skills
* * Big Data, Data Analysis, Predictive Modeling, Statistical Analysis Techniques, Statistical Methods
** Compensation
* * New York Pay Range: $ - $This job can be performed in Illinois with a Pay Range of $ - $. This job can be performed in California with a good faith estimated pay range upon hire of $ USD - $.Comcast intends to offer the selected candidate…