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Tv Makeup Jobs in Texas (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 ... that make up our network. As our first data scientist, you will help shape this function from the ...

EchoStar

Senior Manufacturing Engineer

El Paso, TX · On-site

$96K - $137K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... make up a diverse group of behind-the-scenes team members dedicated to the success of our ...

EchoStar

Senior Manufacturing Engineer

El Paso, TX · On-site

$96K - $137K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... make up a diverse group of behind-the-scenes team members dedicated to the success of our ...

EchoStar

Senior Manufacturing Engineer

El Paso, TX · On-site

$96K - $137K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... make up a diverse group of behind-the-scenes team members dedicated to the success of our ...

EchoStar

Senior Manufacturing Engineer

El Paso, TX · On-site

$96K - $137K/yr

Our business reach spans satellite television service, live-streaming and on-demand programming ... make up a diverse group of behind-the-scenes team members dedicated to the success of our ...

EchoStar

Engineer II

El Paso, TX · On-site

$93K/yr

Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. We serve millions of ... make up a diverse group of behind-the-scenes team members dedicated to the success of our ...

EchoStar

Engineer II

El Paso, TX · On-site

$93K/yr

Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. We serve millions of ... make up a diverse group of behind-the-scenes team members dedicated to the success of our ...

EchoStar

Engineer II

El Paso, TX · On-site

$93K/yr

Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. We serve millions of ... make up a diverse group of behind-the-scenes team members dedicated to the success of our ...

EchoStar

Engineer II

El Paso, TX · On-site

$93K/yr

Our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. We serve millions of ... make up a diverse group of behind-the-scenes team members dedicated to the success of our ...

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All JobsTv Makeup JobsTv Makeup Jobs in Texas

Tv Makeup information

What does a TV makeup artist do?

A TV makeup artist is responsible for applying makeup to on-screen talent, ensuring they look their best under studio lighting and high-definition cameras. They work closely with directors, producers, and costume departments to create appropriate looks for different characters and settings. Their work includes basic makeup application, special effects makeup, and sometimes hairstyling. Attention to detail and the ability to work quickly under pressure are essential skills for this role.

What are the key skills and qualifications needed to thrive as a TV makeup artist, and why are they important?

To thrive as a TV Makeup Artist, you need expertise in makeup application techniques, color theory, and facial anatomy, often supported by a cosmetology license or makeup artist certification. Familiarity with professional makeup brands, airbrushing tools, and hygiene standards is essential for this role. Strong communication, creativity, and adaptability help you collaborate with talent and production teams under tight deadlines. These skills ensure on-screen talent looks their best, maintains continuity, and contributes to the overall quality of television productions.

What are some common challenges faced by TV makeup artists during live broadcasts, and how can they be managed?

TV makeup artists frequently encounter challenges such as touch-ups during live broadcasts, adapting makeup for different lighting conditions, and working under tight time constraints. Managing these challenges requires strong communication with the production team, a deep understanding of how makeup appears on camera, and the ability to work quickly and efficiently. Building a kit with long-lasting, camera-friendly products and staying prepared for last-minute changes can help ensure on-air talent always looks their best.

What is the difference between Tv Makeup vs Film Makeup?

AspectTv MakeupFilm Makeup
CredentialsCosmetology license, specialized training in TV makeupCosmetology license, advanced training in film-specific techniques
Work EnvironmentTelevision studios, live or recorded broadcastsFilm sets, controlled environments for shooting
Industry UsageTelevision productions, commercials, talk showsFeature films, independent movies, commercials

Tv Makeup and Film Makeup share similar credentials and industry environments, but Tv Makeup focuses on quick, camera-ready looks suitable for live or recorded TV settings, while Film Makeup often involves more detailed, long-lasting techniques for high-resolution filming. Both roles require specialized skills, but their application differs based on the production type.

How to become a TV makeup artist?

To become a TV makeup artist, you typically need formal training in cosmetology or makeup artistry, along with experience working in film, television, or theater. Building a strong portfolio, developing skills in special effects and prosthetics, and networking within the industry can help secure opportunities. Certification from recognized beauty or makeup organizations can also enhance credibility and job prospects.

What are popular job titles related to Tv Makeup jobs in Texas?

For Tv Makeup jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Tv Makeup jobs in Texas look for?

The top searched job categories for Tv Makeup jobs in Texas are:

What cities in Texas are hiring for Tv Makeup jobs?

Cities in Texas with the most Tv Makeup job openings:

Tv Makeup jobs near you
Infographic showing various Tv Makeup job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Senior Data Scientist

Austin, TX • On-site

Atmosphere TV
See more jobs at Atmosphere TVexternal

Full-time

Vision, Retirement

Re-posted 4 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.

Apply