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Atmosphere Modeling 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 on ... atmosphere. Garver provides the tools, resources, and environment to develop leaders, stimulate ...

Garver

Water Hydraulic Modeling Intern

Austin, TX

$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 ...

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 · 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 ...

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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How much do atmosphere modeling jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for atmosphere modeling in Austin, TX is $39.98, according to ZipRecruiter salary data. Most workers in this role earn between $30.96 and $43.12 per hour, depending on experience, location, and employer.

What is an atmosphere modeling job?

An Atmosphere Modeling job involves developing and using computer models to simulate and predict atmospheric conditions, such as weather patterns, climate change, and air quality. Professionals in this field analyze atmospheric data, improve forecasting techniques, and contribute to environmental research and policy-making. They often work in meteorology, climate science, aerospace, or environmental consulting, using mathematical and physical principles to understand atmospheric dynamics.

What are the typical daily responsibilities of an atmosphere modeling professional?

Atmosphere Modeling professionals often spend their days developing, running, and validating computer simulations to predict weather patterns, air quality, or climate trends. Daily tasks may include gathering and preprocessing meteorological data, troubleshooting model outputs, writing code to refine model components, and collaborating with colleagues across meteorology, data science, and environmental policy teams. They also frequently summarize results for reports or presentations and contribute to research papers or grant proposals. This role involves a mix of independent analysis and teamwork, providing a dynamic and intellectually stimulating work environment.

What are the key skills and qualifications needed to thrive in atmosphere modeling?

To excel in Atmosphere Modeling, you typically need a solid background in atmospheric science, meteorology, physics, or a related field, often supported by advanced degrees. Proficiency in numerical modeling software, programming languages (such as Python, Fortran, or MATLAB), and experience with data assimilation systems or high-performance computing are highly valued. Strong analytical thinking, attention to detail, and collaborative abilities help professionals address complex problems and communicate findings effectively. These skills are vital for generating accurate atmospheric simulations, informing research or policy, and contributing to multidisciplinary teams.

How to become an atmosphere model?

To become an atmosphere model, individuals typically need a bachelor's degree in atmospheric science, meteorology, environmental science, or a related field. Gaining experience with climate and weather modeling software, programming skills in languages like Python or Fortran, and understanding of physical and mathematical principles are essential. Advanced roles may require a master's or Ph.D. and familiarity with data analysis and simulation tools.

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

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

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

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

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

Atmosphere Modeling jobs near you
Infographic showing various Atmosphere Modeling job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $83,158 per year, or $40 per hour.

Senior Data Scientist

Atmosphere TV

Austin, TX • On-site

Full-time

Vision, Retirement

Re-posted 18 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