Oversee research from problem formulation through experimentation, deployment, and production monitoring.
Marketplace & Platform Strategy
Lead innovation across demand-side platform (DSP) optimization, campaign delivery, supply optimization, and audience targeting systems.
Partner with Product and Engineering leaders to align research investments with strategic business objectives.
Develop frameworks that improve advertiser outcomes, platform efficiency, and marketplace health.
Organizational Leadership
Recruit, mentor, and retain top-tier scientific talent.
Establish technical standards, research processes, and career development frameworks.
Build collaborations across research, engineering, product, and commercial organizations.
Represent the company externally through publications, patents, industry conferences, and academic partnerships.
Business Impact
Translate advanced research into measurable improvements in revenue, efficiency, customer performance, and platform scalability.
Drive data-driven decision-making through experimentation and causal measurement frameworks.
Evaluate strategic technology investments and emerging opportunities.
Required Qualifications
Ph.D. in Electrical Engineering, Computer Science, Operations Research, Applied Mathematics, Statistics, Economics, or related quantitative field.
15+ years of experience developing machine learning and optimization systems.
10+ years of leadership experience managing research scientists and technical organizations.
Demonstrated success deploying research innovations into production environments at scale.
Deep expertise in several of the following: Machine Learning
Optimization
Operations Research
Control Theory
Economics and Auction Design
Statistical Modeling
Large-Scale Experimentation
Track record of publications, patents, or significant scientific contributions.
Exceptional communication and executive stakeholder management skills.
Experience leading research organizations within digital advertising, marketing technology, marketplaces, or internet-scale platforms.
Expertise in demand-side platforms (DSPs), bidding systems, targeting technologies, or advertising optimization.
Experience managing globally distributed teams.
Strong record of academic and industry thought leadership.
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.
Success Metrics
Measurable improvements in platform performance and optimization outcomes.
Successful deployment of research innovations into production systems.
Growth and retention of scientific talent.
Patent generation and publication output.
Revenue impact attributable to optimizat
Benefits
Health insuranceVision insurance
Additional Information
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
We are seeking a Sr Principal Scientist of Research & Optimization Sciences to lead a world-class organization of research scientists and machine learning experts focused on developing the next generation of optimization, prediction, targeting, and marketplace systems. This executive will define the scientific vision, research agenda, and technical strategy for large-scale advertising and marketing platforms, driving innovations that directly impact revenue, customer performance, and marketplace efficiency.
The ideal candidate combines deep expertise in machine learning, optimization, economics, operations research, and experimentation with a proven ability to lead globally distributed research organizations. This leader will translate cutting-edge research into production systems operating at internet scale while partnering closely with Product, Engineering, Data Science, and Business leadership.
Job Description