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Atmosphere Model Jobs in Texas (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 ...

Nokia

RF Propagation and Modeling Engineer

Plano, TX · On-site

Conduct propagation studies, evaluating path loss, fading, and atmospheric effects. * Generate ... Model and optimize end-to-end throughput performance under different RF conditions. * Design ...

Nokia

RF Propagation and Modeling Engineer

Plano, TX · On-site

$147K - $274K/yr

Conduct propagation studies, evaluating path loss, fading, and atmospheric effects. * Generate ... Model and optimize end-to-end throughput performance under different RF conditions. * Design ...

Nokia

RF Propagation and Modeling Engineer

Plano, TX · On-site

... loss, fading, and atmospheric effects. * Conduct wireless coverage predictions and heatmap ... Model and optimize end-to-end throughput performance under different RF conditions. * Design ...

Nokia

RF Propagation and Modeling Engineer

Plano, TX · On-site

$105K - $195K/yr

... atmospheric effects. * Conduct wireless coverage predictions and heatmap generation for diverse ... Model and optimize end-to-end throughput performance under different RF conditions. * Design ...

Garver

Water Hydraulic Modeling Intern

Houston, TX

$16 - $20.75/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 ... 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 ...

Garver

Water Hydraulic Modeling Intern

Houston, TX · On-site

$16 - $20.75/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 ...

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Atmosphere Model information

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How much do atmosphere model jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for atmosphere model in Texas is $29.22, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $36.49 per hour, depending on experience, location, and employer.

What is an atmosphere model?

An atmosphere model is a mathematical or computational representation of the Earth's atmosphere, used to simulate and predict atmospheric processes such as weather, climate, and air quality. These models use physics, chemistry, and data from observations to describe how air moves, how clouds form, and how energy is transferred within the atmosphere. Scientists and meteorologists rely on atmosphere models to forecast weather, study climate change, and assess environmental impacts. There are different types of models, ranging from simple to highly complex, depending on the purpose and scale of the study.

What are some common challenges faced by atmospheric modelers and how can they be addressed?

Atmospheric modelers often encounter challenges such as handling large datasets, integrating diverse sources of environmental data, and ensuring the accuracy of simulations. They must also stay current with evolving modeling software and computational techniques. Collaborating closely with meteorologists, climate scientists, and data analysts can help address these challenges by sharing expertise and refining models. Continuous professional development and participating in interdisciplinary research projects also support overcoming technical and scientific hurdles.

What are the key skills and qualifications needed to thrive as an atmospheric modeler, and why are they important?

To thrive as an Atmospheric Modeler, you need a strong background in atmospheric science, mathematics, and computer programming, usually supported by a degree in meteorology, environmental science, or a related field. Familiarity with modeling software like WRF or CMAQ, programming languages such as Python or Fortran, and experience working with climate data sets are typically required. Analytical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and collaborating with multidisciplinary teams. These capabilities are vital for producing accurate atmospheric predictions and informing decisions related to weather forecasting, climate research, and environmental policy.

What is the difference between Atmosphere Model vs Atmospheric Scientist?

AspectAtmosphere ModelAtmospheric Scientist
CredentialsTypically requires a degree in atmospheric science, meteorology, or related fields; familiarity with modeling softwareRequires a degree in atmospheric science, meteorology, or related fields; often includes research experience
Work EnvironmentPrimarily involves working with computer models, simulations, and data analysis in research or government labsConducts fieldwork, data collection, and analysis; may work in labs, offices, or outdoors
Industry UsageUsed by climate research centers, weather agencies, and environmental organizations for forecasting and climate modelingEmployed by research institutions, government agencies, and universities for studying atmospheric phenomena

While an Atmosphere Model focuses on developing and running simulations of atmospheric processes, an Atmospheric Scientist conducts research, data collection, and analysis to understand weather and climate patterns. Both roles require similar educational backgrounds but differ in daily tasks and work environments.

How to become an atmosphere model?

To become an atmosphere model, candidates typically need a bachelor's degree in atmospheric science, meteorology, or a related field. Developing skills in climate modeling software, programming languages like Python or Fortran, and understanding of atmospheric physics are essential. Gaining experience through internships or research projects can also improve job prospects.

What are popular job titles related to Atmosphere Model jobs in Texas?

For Atmosphere Model jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Atmosphere Model jobs in Texas look for?

The top searched job categories for Atmosphere Model jobs in Texas are:

What cities in Texas are hiring for Atmosphere Model jobs?

Cities in Texas with the most Atmosphere Model job openings:

Atmosphere Model jobs near you
Infographic showing various Atmosphere Model job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $60,786 per year, or $29.2 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.

Apply