Senior Data Scientist (Future Position)
Confirmed live in the last 24 hours
VideoAmp Careers Website
Compensation
$135,000 - $170,000/year
Job Description
Senior Data Scientist
Los Angeles, CA · New York, NY · Boulder, CO · Chicago, IL · Dallas, TX · St. Petersburg, FL | Hybrid | $135,000 – $170,000 + Equity + Benefits
About VideoAmp
VideoAmp is the tech-first measurement company transforming how advertising is valued, bought, and sold. Powered by currency-grade big data and a best-in-class technology stack, our platform gives advertisers, publishers, and agencies the ability to plan, optimize, and measure media investments across every screen — from linear TV and OTT to CTV and digital video.
VideoAmp is accelerating investment in agentic AI and intelligent optimization technologies — helping clients drive measurable, real-world outcomes in an increasingly complex media landscape. With 880% year-over-year measurement growth, 98% coverage of the TV publisher ecosystem, and partnerships with 11 agency groups and 1,000+ advertisers, we're not just keeping pace with the industry — we're defining what comes next.
We believe great work requires great people — people who say "I'll find a way" instead of "it can't be done."
The Role
We are seeking a highly skilled Senior Data Scientist to join our Measurement & Outcomes team. Reporting into the Data Science organization, you will work closely with our Outcomes Tech Lead as a key technical partner and core contributor to build and scale our methodology.
This is a high-impact role where your work will directly shape how major brands and publishers measure the effectiveness of their advertising investments across linear and digital environments.
What You'll Do
- Support the design, development, and deployment of advanced statistical models to optimize advertising campaign measurement and improve planning and targeting accuracy.
- Develop and refine methodologies for core outcome products, specifically attribution and lift models.
- Adapt existing measurement models to solve for specific client use cases.
- Ensure the integrity and accuracy of data through rigorous testing and validation of models.
- Work closely with Engineering and MLOps teams t
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