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Data Scientist Machine Learning Jobs in Wisconsin

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 ...

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : 630-685 ...

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 ...

Relevant experience required includes designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python ...

WI · On-site

MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a ... data analysis and machine learning libraries. * Ability to apply various analytical models to ...

WI · On-site

Machine learning * Emerging AI technologies and implementation (LLMs, RAG, GenAI, Agentic workflow integrations and deployment) Education Bachelor's Degree (Required) Experience Minimum of 6 years ...

MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a ... data analysis and machine learning libraries. * Ability to apply various analytical models to ...

Apply advanced statistical methods and machine learning techniques to solve complex business ... Proven experience as a Data Scientist in a fast-paced and data-driven environment. * Expertise in ...

Polco is hiring a Data Scientist! Polco runs some of the most important local government ... machine learning models that show communities where their key metrics are headed), and causal ...

Polco is hiring a Data Scientist! Polco runs some of the most important local government ... machine learning models that show communities where their key metrics are headed), and causal ...

Showing results 21-40

Data Scientist Machine Learning information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do data scientist machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data scientist machine learning in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

What are the most commonly searched types of Data Scientist Machine Learning jobs in Wisconsin?

The most popular types of Data Scientist Machine Learning jobs in Wisconsin are:

What are popular job titles related to Data Scientist Machine Learning jobs in Wisconsin?

For Data Scientist Machine Learning jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Scientist Machine Learning jobs in Wisconsin look for?

The top searched job categories for Data Scientist Machine Learning jobs in Wisconsin are:

Infographic showing various Data Scientist Machine Learning job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.

Senior Data Scientist

Madison, WI • On-site

Full-time

Re-posted 13 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