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Data Mining Jobs in Wisconsin (NOW HIRING)

Jobtailor

Data Scientist II/III

Madison, WI · On-site

$95 - $130/hr

... mining * Organizes and automates project steps for data preparation and analysis Requirements * At least five years of relevant experience in health-related applied research, statistics, and ...

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 ...

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 ...

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 ...

Elephas

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining complex data methodologies to non-technical ...

ATI

Sr 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 ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining complex data methodologies to non-technical ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining complex data methodologies to non-technical ...

Sonsoft Inc

MSBI Consultant

Milwaukee, WI · On-site

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 · On-site

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 · On-site

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 ...

Memorial Hermann Health System

WI · On-site

$95 - $130/hr

Provides in‑depth data insights from structured and unstructured data for complex business problems using advanced analytics techniques, predictive modeling, data mining/visualization and pattern ...

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All JobsData Mining JobsData Mining Jobs in Wisconsin

Data Mining information

See Wisconsin salary details

$51.5K

$70.7K

$89.8K

How much do data mining jobs pay per year?

As of Aug 24, 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 is a data mining?

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.

What are the key skills and qualifications needed to thrive in data mining, 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 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.

How much do data miners make?

Data miners typically earn between $50,000 and $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with advanced skills in data analysis and tools like SQL or Python can earn higher salaries.

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 tools like SQL and Python. It is in demand across industries such as finance, healthcare, and marketing, with opportunities for advancement and specialization.

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
Infographic showing various Data Mining job openings in Wisconsin as of August 2026, with employment types broken down into 58% Full Time, 22% Part Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $70,654 per year, or $34 per hour.

Data Scientist II/III

Madison, WI • On-site

Jobtailor
See more jobs at Jobtailorexternal

$95 - $130/hr

Other

Posted 7 days ago

Job description


  • Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators

  • Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources

  • Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows

  • Independently identifies and implements appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining

  • Organizes and automates project steps for data preparation and analysis


Requirements

  • At least five years of relevant experience in health-related applied research, statistics, and analytics.

  • Advanced proficiency with statistical software and programming languages, specifically Python and R.

  • Experience using and managing workflows in open-source platforms like GitHub, for version control, code management and collaboration.

  • Proficiency in interactive web dashboards and applications built with tools such as Shiny, Quarto, Streamlit or Dash for visualizing and disseminating data.

  • Experience manipulating and analyzing a variety of datasets including, national mortality, community health, health indicators and outcomes, including non-traditional data sources such as (grassroots reporting/social media mining).

  • Experience developing analytic approaches to support continued improvement of data management, analysis, visualization and presentation, including the development of data quality frameworks.


Core Competencies

Demonstrates advanced proficiency in statistical analysis and programming with Python and R, alongside expertise in data visualization and workflow management. Capable of developing reproducible research methodologies and automating data preparation processes to support health-related applied research.


Tools & Technologies

  • GitHub

  • Shiny

  • Quarto

  • Streamlit

  • Dash

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