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Geo Tv Jobs (NOW HIRING)

Atmosphere TV

Senior Data Scientist

Austin, TX · On-site

About Atmosphere TV Atmosphere TV is the leading streaming TV platform built specifically for ... Build statistically rigorous causal designs: exposed/control group construction, geo-based ...

Atmosphere TV

Regional Account Manager

Austin, TX · On-site

About Atmosphere TV Atmosphere is the leading streaming TV platform built specifically for ... Provide pre-sales support, including requesting advertising inventory avails, creating geo-targeted ...

Tinuiti

TV, Video, Audio & Display Strategist

As a TV, Video, Audio & Display (TVAD) Strategist, you will plan and improve fullfunnel TV, video ... Design valid tests suited to TVAD (geo/lift or holdout where feasible; otherwise powered A/B or ...

Tinuiti

TV, Video, Audio & Display Strategist

As a TV, Video, Audio & Display (TVAD) Strategist, you will plan and improve fullfunnel TV, video ... Design valid tests suited to TVAD (geo/lift or holdout where feasible; otherwise powered A/B or ...

Tinuiti

TV, Video, Audio & Display Strategist

As a TV, Video, Audio & Display (TVAD) Strategist, you will plan and improve fullfunnel TV, video ... Design valid tests suited to TVAD (geo/lift or holdout where feasible; otherwise powered A/B or ...

Tinuiti

TV, Video, Audio & Display Strategist

As a TV, Video, Audio & Display (TVAD) Strategist, you will plan and improve fullfunnel TV, video ... Design valid tests suited to TVAD (geo/lift or holdout where feasible; otherwise powered A/B or ...

Tinuiti

TV, Video, Audio & Display Strategist

As a TV, Video, Audio & Display (TVAD) Strategist, you will plan and improve fullfunnel TV, video ... Design valid tests suited to TVAD (geo/lift or holdout where feasible; otherwise powered A/B or ...

Tinuiti

TV, Video, Audio & Display Strategist

Design valid tests suited to TVAD (geo/lift or holdout where feasible; otherwise powered A/B or ... Experience: 5-7 years managing TV/video/audio/display at scale (CTV/OTT/Linear, online video ...

Tinuiti

TV, Video, Audio & Display Strategist

Design valid tests suited to TVAD (geo/lift or holdout where feasible; otherwise powered A/B or ... Experience: 5-7 years managing TV/video/audio/display at scale (CTV/OTT/Linear, online video ...

Tinuiti

TV, Video, Audio & Display Strategist

Design valid tests suited to TVAD (geo/lift or holdout where feasible; otherwise powered A/B or ... Experience: 5-7 years managing TV/video/audio/display at scale (CTV/OTT/Linear, online video ...

Robert Half

Paid Media Manager

Cincinnati, OH · Remote

$30 - $35/hr

... TV, and streaming platforms. * Strong command of digital and social media strategy, execution, and performance optimization. * Solid understanding of local and regional media planning, including geo ...

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How much do geo tv jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for geo tv in the United States is $32.58, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $38.94 per hour, depending on experience, location, and employer.

What is a Geo TV?

A Geo TV job typically refers to a role at Geo Television Network, a major Pakistani media company. Positions range from journalism and reporting to production, editing, and management. Employees work on news, entertainment, and digital content to deliver quality programming. Geo TV offers opportunities for both entry-level and experienced professionals in the media industry.

What are the key skills and qualifications needed to thrive in the Geo TV position, and why are they important?

To succeed at Geo TV, professionals need strong journalistic skills, a background in media studies or mass communication, and a thorough understanding of current affairs. Familiarity with broadcast equipment, newsroom software, and video editing tools like Adobe Premiere is highly valuable, along with relevant media certifications. Attention to detail, strong communication skills, and the ability to work effectively under pressure distinguish top performers in this field. These competencies ensure high-quality news production, accurate reporting, and effective teamwork in a fast-paced broadcast environment.

What does a typical workday look like for someone working at Geo TV?

A typical workday at Geo TV involves researching news stories, preparing scripts or storyboards, collaborating with reporters, camera crews, and producers, and participating in live or recorded broadcasts. Team members frequently attend editorial meetings, coordinate with different departments, and ensure that news segments are accurate and engaging. The pace can be fast, as breaking news often requires quick decision-making and adaptability. Most roles offer opportunities to learn from senior journalists and can lead to advancement into editorial, production, or management positions.

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geo tv jobs near you
Infographic showing various Geo Tv job openings in the United States as of August 2026, with employment types broken down into 10% As Needed, 80% Full Time, 7% Part Time, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $67,770 per year, or $32.6 per hour.

Senior Data Scientist

Atmosphere TV

Austin, TX • On-site

Full-time

Vision, Retirement

Re-posted 14 days ago

Job description

About Atmosphere TV
Atmosphere TV is the leading streaming TV platform built specifically for businesses. Unlike ad networks or signage companies, Atmosphere is the only true TV company whose first priority is to entertain television audiences outside of the home. Our content is designed to be fun, engaging, and worth watching, transforming waiting rooms, gyms, bars, and restaurants into better experiences for customers and better businesses for owners.
We are the first and only company to think about both the business owner and their customers when creating TV content. With 60,000+ venues and a global audience of over 150 million monthly viewers, Atmosphere TV is redefining what TV means outside the living room.
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 - isolating the incremental impact of exposure on real-world outcomes (foot traffic, store visitation, conversion) from confounders like organic visitation trends, seasonality, and competing media.
  • 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.

Predictive Venue Modeling & Contextual Enrichment
  • 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.
  • Leverage venue streaming and engagement data to better understand what drives retention vs. churn, helping us create a ranked list of customer challenges to solve from the full list of potential friction points, pain signals, and leading indicators.
  • 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.

Productization & Go-To-Market
  • 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

Qualifications
  • 5+ years of experience in data science, applied research, or quantitative analytics.
  • Deep fluency in causal inference and applied statistics - including experience with A/B testing, geo experiments, difference-in-differences, synthetic control, propensity methods, and regression modeling - and can explain clearly why one fits a given problem better than another.
  • Expertise in predictive modeling (e.g., gradient-boosted trees, survival/churn models, calibration, and honest out-of-sample evaluation)
  • Sound judgment about what makes a model trustworthy: validation, uncertainty, and knowing when a result is solid enough to act on.
  • Strong programming skills in Python and/or R, and comfort with SQL for working with data at scale.
  • A track record of translating complex statistical work into clear, business-friendly outputs, and of shipping models and products that get used
  • Ability to operate in a fast moving environment and balance rigor with pragmatism.

Nice-to-Have:
  • Familiarity with location/mobility data or other behavioral signal data.
  • Familiarity with out-of-home (OOH), digital out-of-home (DOOH), or CTV advertising, or experience at an ad tech company, media platform, or measurement vendor.
  • Exposure to marketing measurement, media effectiveness, mixed media modeling (MMM), or multi-touch attribution (MTA).
  • Background in Bayesian inference or probabilistic modeling.
  • Experience launching data products in coordination with Sales, Marketing, or Client Success.
  • Exposure to computer vision or NLP..

Compensation & Benefits:
  • Competitive salary
  • Company Equity
  • Company 401(k) with employer matching
  • Competitive insurance plans
  • Flexible Time Off Policy

Our Commitment to Diversity:
Don't meet every single requirement? Research shows that women and underrepresented groups often hesitate to apply unless they meet all the criteria. At Atmosphere, we're committed to building a diverse, inclusive team where creativity, innovation, and teamwork thrive. If you're excited about this role but your experience doesn't perfectly align with every qualification, we still encourage you to apply-you might be the right fit for this or another role.

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