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Atmosphere Models Jobs in Austin, TX (NOW HIRING)

Atmosphere TV

Senior Data Scientist

Austin, TX · On-site

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 ...

Atmosphere TV

VP, Marketing

Austin, TX · On-site

$200K - $235K/yr

About Atmosphere TV Atmosphere TV is the world's leading streaming TV platform built for business ... Help grow and mentor the marketing team as we hire - modeling the kind of collaborative, no-ego ...

Garver

Water Hydraulic Modeling Intern

Austin, TX · On-site

$16.50 - $21.50/hr

Garver's Water Infrastructure - Modeling, Analytics, and Planning Team, a resource group focused ... atmosphere. Garver provides the tools, resources, and environment to develop leaders, stimulate ...

Garver

Water Hydraulic Modeling Intern

Austin, TX · On-site

$16.50 - $21.50/hr

Garver's Water Infrastructure - Modeling, Analytics, and Planning Team, a resource group focused on ... atmosphere. Garver provides the tools, resources, and environment to develop leaders, stimulate ...

Avenue Five Institute

Front Desk Associate

Austin, TX · On-site

$13.75 - $17.75/hr

Helping support students by modeling "best customer service" behavior * Checking guests in and out ... atmosphere by delivering the highest quality customer service. Compensation: TBD Professional ...

Chick-fil-A

Hospitality & Lobby Attendant

Austin, TX

$17/hr

... atmosphere. Hospitality & Lobby Attendants are responsible for providing an exceptional dining ... Serve Guests and team member's using Chick-fil-A hospitality models * Enthusiastic and motivated ...

Chick-fil-A

Hospitality & Lobby Attendant

Austin, TX · On-site

$17/hr

... atmosphere. Hospitality & Lobby Attendants are responsible for providing an exceptional dining ... Serve Guests and team member's using Chick-fil-A hospitality models * Enthusiastic and motivated ...

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All JobsAtmosphere Models JobsAtmosphere Models Jobs in Austin, TX

Atmosphere Models information

See Austin, TX salary details

$10.9K

$104.6K

How much do atmosphere models jobs pay per year?

As of Aug 27, 2026, the average yearly pay for atmosphere models in Austin, TX is $96,312.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,200.00 and $104,100.00 per year, depending on experience, location, and employer.

What is an atmosphere model?

An Atmosphere Models job involves developing, testing, and improving computational models that simulate atmospheric processes like weather patterns, climate change, and air quality. Professionals in this field use mathematical equations and data analysis to predict atmospheric behavior and support research in meteorology, environmental science, and aviation. They often work with government agencies, research institutions, or private companies to enhance forecasting accuracy and understand climate dynamics. Strong skills in programming, physics, and data modeling are essential for success in this role.

What does a typical workday look like for an atmosphere modeler, and with whom do they usually collaborate?

As an Atmosphere Modeler, your workday typically involves developing, running, and analyzing computer simulations that predict atmospheric conditions, as well as processing large sets of environmental data. You will frequently collaborate with meteorologists, climate scientists, software engineers, and sometimes government or industry stakeholders to refine models and interpret results. Much of your work is computer-based, but you may also participate in meetings to discuss findings or plan research initiatives. This collaborative and analytical environment offers variety and intellectual challenge, while also providing opportunities for professional growth as you contribute to impactful environmental projects.

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

To thrive as an Atmosphere Modeler, you need a strong background in atmospheric sciences, meteorology, or a related field, typically complemented by experience in numerical modeling and data analysis. Proficiency with tools such as MATLAB, Python, Fortran, and specialized atmospheric modeling software like WRF or HYSPLIT, along with relevant certifications, is often required. Critical thinking, attention to detail, and strong communication skills are important for interpreting results and collaborating with multidisciplinary teams. These competencies are crucial for generating accurate atmospheric predictions and contributing to research or policy decisions.

What are popular job titles related to Atmosphere Models jobs in Austin, TX?

For Atmosphere Models jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Atmosphere Models jobs in Austin, TX look for?

The top searched job categories for Atmosphere Models jobs in Austin, TX are:

What cities near Austin, TX are hiring for Atmosphere Models jobs?

Cities near Austin, TX with the most Atmosphere Models job openings:

Atmosphere Models jobs near you
Infographic showing various Atmosphere Models job openings in Austin, TX as of August 2026, with employment types broken down into 56% Full Time, and 44% Part Time. Highlights an 100% In-person job distribution, with an average salary of $96,312 per year, or $46.3 per hour.

Senior Data Scientist

Atmosphere TV

Austin, TX • On-site

Full-time

Vision, Retirement

Re-posted 16 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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