About Atmosphere TV Atmosphere TV is the leading streaming TV platform built specifically for businesses.
About the role
As we scale both our advertising business and our venue network, we are investing in the causal-inference and predictive-modeling foundation that will make Atmosphere smarter on both sides of the business — how we measure and sell advertising, and how we grow and retain the venues that make up our network. As our first data scientist, you will help shape this function from the ground up.
What they're looking for
- Build statistically rigorous causal designs: exposed/control group construction, geo-based experiments, difference-in-differences, and synthetic control
- Stand up the incrementality capability that underpins how we sell — turning measurement into a differentiator our go-to-market teams can take to market and our clients can trust
- Build models that predict a venue's intrinsic revenue potential, enabling us to prioritize prospective venues for acquisition as well as flag under-monetized venues we already operate
- Model and infer latent venue attributes to sharpen both the segments advertisers target against and the feature sets your own revenue and churn models depend on
- Use measurement outputs to generate actionable insights that feed back into campaign strategy — daypart targeting, venue type optimization, creative performance, audience segmentation
- Develop closed-loop optimization frameworks that make every campaign smarter than the last, building proprietary benchmarks and norms by vertical/category
More about this role
About the role
As we scale both our advertising business and our venue network, we are investing in the causal-inference and predictive-modeling foundation that will make Atmosphere smarter on both sides of the business — how we measure and sell advertising, and how we grow and retain the venues that make up our network. As our first data scientist, you will help shape this function from the ground up.
We are looking for a Senior Data Scientist to serve in a high-impact, high-visibility role that sits at the intersection of data science, sales, product, and go-to-market. The ideal candidate is an excellent applied statistician and modeler: someone who deeply understands causal inference and predictive methods, knows which technique fits which problem and why, and can turn that rigor into products the business actually uses. You will design, build, and ship the models that quantify the real-world impact of campaigns, capture what makes individual venues valuable and what puts them at risk, and turn rigorous methodology into a core competitive advantage for Atmosphere.
What you'll do
Causal Measurement & Incrementality
- Design and own Atmosphere's causal measurement framework —...
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