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Data 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 people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

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

Innovizant LLC

Data Scientist

Madison, WI

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

Cliftonlarsonallen

Data Scientist

Madison, WI

As a Data Science Associate, you will: This role constructs complex solutions that integrate data ... Gain experience with predictive and inferential analytics, machine learning, and artificial ...

New

Varsity Tutors

Machine Learning Tutor

Madison, WI · Remote

$18 - $40/hr

... preparing students for data science roles and advanced AI coursework. * Conceptual Teaching ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

The Data Scientist II will design, develop, and maintain data pipelines, data models, and ... machine learning, and data mining Department: School of Medicine and Public Health, Office of ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

Data Scientist II Job Summary: The Office of Informatics and Information Technology (IIT) is ... analysis, machine learning, and data mining * Organizes and automates project steps for data ...

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All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Madison, WI

Data Scientist Machine Learning information

See Madison, WI salary details

$37.8K

$123.7K

$198K

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

As of Jul 18, 2026, the average yearly pay for data scientist machine learning in Madison, WI is $123,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $137,100.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

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 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.

Is 40 too late for data science?

Data scientists can enter the field at any age, including 40 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and machine learning tools. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can assist with certain tasks, MLEs are essential for creating and maintaining complex systems. AI is a tool that enhances their work but does not replace the need for skilled professionals who understand data, algorithms, and system integration.

Which 5 jobs will survive AI?

Data Scientist Machine Learning roles are likely to persist as they require complex problem-solving, domain expertise, and the ability to interpret and communicate insights from data. Jobs that involve creativity, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and skilled trades, are also expected to remain resilient despite AI advancements.

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.

Do data scientists do machine learning?

Yes, data scientists often use machine learning techniques to analyze data, build predictive models, and extract insights. Proficiency in programming languages like Python or R and understanding of algorithms are essential skills for applying machine learning in their work.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Madison, WI? The most popular types of Data Scientist Machine Learning jobs in Madison, WI are:
What are popular job titles related to Data Scientist Machine Learning jobs in Madison, WI? For Data Scientist Machine Learning jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Scientist Machine Learning jobs in Madison, WI look for? The top searched job categories for Data Scientist Machine Learning jobs in Madison, WI are:
Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Madison, WI as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,693 per year, or $59.5 per hour.
Senior Data Scientist

Senior Data Scientist

The Weather Channel

Madison, WI • On-site

Full-time

Re-posted 18 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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