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Climate Research Scientist Machine Learning Jobs in Madison, WI

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Are you interested in applying machine learning or data mining on problems that truly improve ... Research, recommend, and implement statistical post process correction techniques using proprietary ...

Amgen

Senior Data Scientist

Madison, WI · On-site

... we research, manufacture, and deliver innovative medicines to help people live longer, fuller ... Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ...

Amgen, Inc.

Senior Data Scientist

Madison, WI · On-site +1

... we research, manufacture, and deliver innovative medicines to help people live longer, fuller ... Design, develop, and deploy first principles, machine learning, and hybrid models to optimize ...

Abbott

Lead AI Platform Engineer

Madison, WI · On-site

$99K - $198K/yr

Collaborate closely with data scientists, machine learning engineers, and software engineers to ... Stay updated on advancements in AI research and technology to guide initiatives. * Foster a culture ...

Abbott

Lead AI Platform Engineer

Madison, WI

$99K - $198K/yr

Collaborate closely with data scientists, machine learning engineers, and software engineers to ... Stay updated on advancements in AI research and technology to guide initiatives. * Foster a culture ...

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All JobsClimate Research Scientist Machine Learning JobsClimate Research Scientist Machine Learning Jobs in Madison, WI

Climate Research Scientist Machine Learning information

See Madison, WI salary details

$50.9K

$131.1K

$175.3K

How much do climate research scientist machine learning jobs pay per year?

As of Aug 7, 2026, the average yearly pay for climate research scientist machine learning in Madison, WI is $131,109.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,300.00 and $174,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a climate research scientist specializing in machine learning?

To thrive as a Climate Research Scientist specializing in Machine Learning, you need a solid background in climate science, statistical analysis, and advanced machine learning techniques, typically supported by a graduate degree in a related field. Experience with programming languages like Python or R, familiarity with climate modeling software, and proficiency in machine learning frameworks such as TensorFlow or PyTorch are highly valuable. Strong analytical thinking, problem-solving abilities, and effective communication skills help you explain complex findings to diverse audiences and collaborate across disciplines. These skills and qualities are crucial for advancing climate research, developing innovative solutions, and informing policy decisions based on robust data analysis.

What does a climate research scientist specializing in machine learning do?

A Climate Research Scientist who specializes in Machine Learning uses advanced algorithms and computational models to analyze climate data and improve predictions about climate change. They work with large datasets from satellites, weather stations, and simulations to identify patterns, make forecasts, and assess environmental impacts. Their work helps inform policy decisions, guide mitigation strategies, and advance our scientific understanding of the Earth's climate system. Collaboration with other scientists, governments, and organizations is often a key part of the role.

How do climate research scientists specializing in machine learning typically collaborate with multidisciplinary teams?

Climate Research Scientists with expertise in Machine Learning often work closely with meteorologists, data engineers, environmental scientists, and policy experts. They contribute by developing and refining predictive models using large climate datasets, while also translating complex outputs into actionable insights for decision-makers. Collaboration often involves regular team meetings, joint publications, and integrating domain expertise to ensure that the models are both scientifically robust and practically useful. Strong communication skills are valuable, as these scientists frequently explain technical concepts to colleagues from non-technical backgrounds.

What is the difference between Climate Research Scientist Machine Learning vs Climate Data Analyst?

AspectClimate Research Scientist Machine LearningClimate Data Analyst
Required CredentialsMaster's or PhD in Climate Science, Data Science, or related fields; knowledge of machine learningBachelor's or Master's in Environmental Science, Data Analysis, or related fields; proficiency in data tools
Work EnvironmentResearch labs, universities, environmental agencies, often collaborative and interdisciplinaryGovernment agencies, consulting firms, NGOs; focus on data processing and reporting
Employer & Industry UsageResearch institutions, academia, environmental organizations integrating machine learningPolicy organizations, environmental consultancies analyzing climate data

While both roles involve climate data, Climate Research Scientist Machine Learning focuses on developing predictive models using advanced algorithms, whereas Climate Data Analysts primarily process and interpret climate datasets to inform decisions. The former requires more specialized knowledge in machine learning techniques, while the latter emphasizes data management and reporting skills.

What are popular job titles related to Climate Research Scientist Machine Learning jobs in Madison, WI? For Climate Research Scientist Machine Learning jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Climate Research Scientist Machine Learning jobs in Madison, WI look for? The top searched job categories for Climate Research Scientist Machine Learning jobs in Madison, WI are:
Climate Research Scientist Machine Learning jobs near you
Infographic showing various Climate Research Scientist Machine Learning job openings in Madison, WI as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $131,109 per year, or $63 per hour.

Senior Data Scientist

The Weather Channel

Madison, WI • On-site

Full-time

Re-posted 8 days ago

Job description

Company Description
The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling.
Job Description
Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago.
  • Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals.
  • Research, recommend, and implement statistical post process correction techniques using proprietary forecasts.
  • Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc.
  • Improve operations by conducting systems analysis; recommending changes in policy and procedures.
  • Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required.
  • Continuously build your knowledge by studying new scientific methodologies and techniques.
  • Play an active role in the product requirements process, giving feedback to product management when challenges arise.

Qualifications
  • MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline.
  • 3-5 years of relevant professional experience, with demonstrated achievements.
  • Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc.
  • Experience using/implementing non-parametric regression such as Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM
  • Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus.
  • Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary.
  • Knowledge of ensemble learning techniques and probabilistic forecasts is a plus.
  • Programming capabilities including C++, Java, Python is a plus but not necessary.

Additional Information

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