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Data Mining Jobs in Wisconsin (NOW HIRING)

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 ...

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 ...

ATI

Data Scientist

Cudahy, WI · On-site

Experience in deep learning, predictive modeling, data mining, and time series analysis. * Knowledge of image segmentation, generative models, convolutional neural networks. * Experience in applied ...

Next Gen Alloys

Data Scientist

Cudahy, WI

Experience in deep learning, predictive modeling, data mining, and time series analysis. * Knowledge of image segmentation, generative models, convolutional neural networks. * Experience in applied ...

ATI

Data Scientist

Cudahy, WI

Experience in deep learning, predictive modeling, data mining, and time series analysis. * Knowledge of image segmentation, generative models, convolutional neural networks. * Experience in applied ...

Sonsoft Inc

MSBI Consultant

Milwaukee, WI

Good knowledge of MSBI suite of products (SSIS/SSRS/SSAS/Power BI (Power View, Power Pivot, Power Query, Power Map)/ PerformancePoint (on SharePoint)/MDS/DQS/Data Mining). * Proficient in creating ...

Sonsoft Inc

MSBI Consultant

Milwaukee, WI

Good knowledge of MSBI suite of products (SSIS/SSRS/SSAS/Power BI (Power View, Power Pivot, Power Query, Power Map)/ PerformancePoint (on SharePoint)/MDS/DQS/Data Mining). * Proficient in creating ...

Generac

Data Science Analyst

Waukesha, WI

The Data Science Analyst is responsible for the analysis of structured and unstructured data using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data mining. The ...

DERSE, Inc.

Jr. Financial Analyst

Milwaukee, WI · On-site

Create high-impact reports based on findings from in-depth data mining across internal systems, identifying trend within sales and production. Recommend improvements accordingly. * Establish ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

... and data mining Department: School of Medicine and Public Health, Office of Informatics, Research Data Services. Compensation: The starting salary for the position is $80,000 annually; but is ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

... mining * Organizes and automates project steps for data preparation and analysis * Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and ...

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Data Mining information

See Wisconsin salary details

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$70.7K

$89.8K

How much do data mining jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data mining in Wisconsin is $70,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,500.00 and $85,800.00 per year, depending on experience, location, and employer.

What does a data miner do?

A data miner analyzes large datasets to identify patterns, trends, and useful information that can support decision-making. They use tools like SQL, Python, or specialized software to extract and interpret data, often working in environments that require strong analytical and technical skills. Data mining is essential in fields like marketing, finance, and healthcare for uncovering insights and improving strategies.

Is data mining a good career?

Data mining is a viable career that involves analyzing large datasets to extract useful information, often requiring skills in statistics, programming, and data analysis tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for growth and specialization. Success in this field typically requires continuous learning and relevant certifications.

What are some common challenges faced by professionals in Data Mining roles?

Data Mining professionals often encounter challenges such as handling large and complex datasets, ensuring data quality, and selecting the most appropriate algorithms for specific business problems. Managing diverse data sources and cleaning data to prepare it for analysis can be time-consuming and requires careful attention to detail. Collaboration with business analysts, IT staff, and subject matter experts is frequent, as understanding the business context is essential for meaningful results. Overcoming these challenges is key to delivering accurate insights and supporting strategic decisions within an organization.

What is a Data Mining job?

A Data Mining job involves extracting useful patterns, trends, and insights from large datasets using statistical, machine learning, and analytical techniques. Professionals in this field work with structured and unstructured data to help businesses make data-driven decisions. Common tasks include data preprocessing, feature selection, algorithm development, and result interpretation. They often use tools like Python, R, SQL, and data visualization software to analyze data effectively.

Is 40 too late for data science?

Data mining is a key skill in data science, and professionals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age, making 40 not too late to start a career in data science.

What are the key skills and qualifications needed to thrive in the Data Mining position, and why are they important?

To thrive in Data Mining, a strong background in statistics, mathematics, computer science, and data analysis is usually required, often supported by a related degree or equivalent experience. Familiarity with tools such as Python, R, SQL, and data mining platforms like Weka or RapidMiner, as well as certifications in data analytics, are highly beneficial. Strong problem-solving abilities, analytical thinking, and effective communication skills help professionals interpret complex data and share actionable insights with stakeholders. These competencies are crucial for extracting valuable information from large datasets and driving data-informed decision-making within organizations.

What are the most commonly searched types of Data Mining jobs in Wisconsin? The most popular types of Data Mining jobs in Wisconsin are:
What are popular job titles related to Data Mining jobs in Wisconsin? For Data Mining jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Data Mining jobs in Wisconsin look for? The top searched job categories for Data Mining jobs in Wisconsin are:
What cities in Wisconsin are hiring for Data Mining jobs? Cities in Wisconsin with the most Data Mining job openings:
Data Mining jobs near you
Senior Data Scientist

Senior Data Scientist

The Weather Channel

Madison, WI • On-site

Full-time

Re-posted 16 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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