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Samba is a media intelligence company. We know what the world is watching, reading, and thinking about — in real time, at scale, across every screen. Our data exists with the consent of over a billion people, organized into the most complete picture of consumer attention ever built. The biggest brands in the world use that picture to make smarter decisions. We think it’s the most interesting data asset on the planet, because it’s the most culturally relevant.
Central to Samba's mission is the ability to capture, measure, and make sense of massive amounts of media and web-based behavioral data. Beyond this foundational mission is the earnest desire for that information to help fuel better, faster decisions for the world's leading brands.
As a Measurement Science Associate, you will play a critical role in this mission — helping shape the future of what types of metrics the world's leading brands use to make media decisions. You'll work alongside a global team of Measurement Partners, Analysts, and Insights professionals to help execute measurement reports, automate recurring operational requests, and explore Samba data to surface unique, non-obvious, and previously undiscovered media intelligence. Measurement Science is a cross-functional organization, and this role will have the opportunity to collaborate with Samba's Engineering, Technology, Product, Marketing, and Commercial teams, all in the service of our customers.
What You'll Do
- Support the execution of measurement studies across brand and performance advertisers
- Identify and automate recurring requests or repeatable tasks to improve team efficiency
- Assist in the design, execution, and QA of TV measurement studies
- Analyze viewership, exposure, and outcome data to generate client-ready insights and reporting
- Support the development of reporting templates, measurement frameworks, and methodology documentation
- Work cross-functionally with Sales, Data Science, and Client Success teams to deliver on client KPIs
- Stay current on industry measurement methodologies, currency standards, and best practices
- Contribute to internal tools and processes that improve measurement efficiency and scale
What We're Looking For
- Bachelor's degree in Statistics, Economics, Data Science, Mathematics, or related field (Class of 2026 preferred)
- Comfort working with data — SQL, Python, or R exposure preferred
- Strong analytical thinking and ability to communicate findings clearly to both technical and non-technical audiences
- Detail-oriented with a passion for turning numbers into stories
- Interest in media measurement, TV attribution, or marketing analytics
Samba is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We strive to empower connection with one another, reflect the communities we serve, and tackle meaningful projects that make a real impact.
Samba may collect personal information directly from you, as a job applicant, Samba may also receive personal information from third parties, for example, in connection with a background, employment or reference check, in accordance with the applicable law. For further details, please see Samba's Applicant Privacy Policy. For residents of the EU , Samba Inc. is the data controller.
Samba TV San Francisco, California, USA Office
118 King Street, San Francisco, CA, United States, 94107
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
