ZipRecruiter

Log In

1

Data Mining Jobs in Wisconsin (NOW HIRING)

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI

$112.50K - $135.10K/yr

Uses data mining or extracting tools to find usable data from valuable data sources. * Makes use of machine learning tools to select features, create and optimize data classifiers. * Performs ...

New

Highlight Technologies

Data Analyst

Madison, WI · On-site

Leverage statistical tools and techniques including data mining, predictive modeling, geospatial analysis and multivariate regression analysis. * Develop quantitative analyses on the dynamics of ...

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 ...

Highlight Technologies

Data Analyst

Madison, WI

Leverage statistical tools and techniques including data mining, predictive modeling, geospatial analysis and multivariate regression analysis. * Develop quantitative analyses on the dynamics of ...

New

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 ...

Amcor plc

Data Specialist

Oshkosh, WI · On-site

Supports daily activities such as data creation and maintenance, analytics, and data mining of system information to support graphics, planning, manufacturing, and supply chain functions; can ...

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 ...

BMO U.S.

Data Analytics and Visualization

Milwaukee, WI · On-site

... mining. • Illustration. • Creative thinking. • Problem Solving. • Verbal & written communication skills. • Collaboration & team skills. • Analytical and problem solving skills. • Data ...

Generac

Data Scientist II

Waukesha, WI

Demonstrated experience applying machine learning and data mining techniques. Preferred Qualifications: * Master's and/or PhD are a strong plus * Experience in agentic AI across organization

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 ...

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 ...

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 ...

DERSE INC

Jr. Financial Analyst

Milwaukee, WI

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

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

Sprinklr

Use analytical rigor and statistical methods to analyze large amounts of data, extracting actionable insights using advanced statistical techniques such as data analysis, data mining, optimization ...

next page

Showing results 1-20

People also search for

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 May 29, 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 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.

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 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.
More about Data Mining jobs
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 May 2026, with employment types broken down into 3% As Needed, 27% Full Time, 69% Part Time, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $70,654 per year, or $34 per hour.
Data Science Engineer

Data Science Engineer

Foley & Lardner LLP

Milwaukee, WI

$112.50K - $135.10K/yr

Full-time

Posted 17 hours ago

Job description

Foley & Lardner LLP is a great place to work because of what we do and how we do it. Here, your unique perspectives, experiences, and abilities will be embraced and developed, so you can excel. Being a part of Foley means having the opportunities and resources necessary to gain experience, advance professional goals, and forge meaningful connections. It’s a place where you can build your career and enjoy professionally satisfying work. We have over 2,300 people who are #HappyatFoley, and we think you will be too. 

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and Data Science team. The right candidate will be responsible for all aspects of selected data science (including Data Mining, AI, Machine Learning) related Technology initiatives for the firm, from proposal and requirements definition to project planning and implementation, working with both the requesting party and Technology team using a variety of tools. This position requires comprehensive knowledge of formal project skills and will provide a proactive interface between internal clients and the Technology team to ensure effective definition of a delivery of data science initiatives. 


  • Leads and drives the execution of data science projects including predictive modeling, natural language processing.
  • Applies mathematical, problem-solving, and coding skills to manage big data, extracting valuable insights.
  • Uses data mining or extracting tools to find usable data from valuable data sources.
  • Makes use of machine learning tools to select features, create and optimize data classifiers.
  • Performs preprocessing of structured and unstructured data.
  • Assists with Data taxonomy development and maintain our taxonomy for legal data (e.g., taxonomy clean up, SALI Taxonomy implementation). 
  • Collaborates with firm leadership to identify strategic goals related to data utilization and implement data strategy components in collaboration with Business Intelligence.
  • Collaborates with Knowledge Management, Business Intelligence and Competitive Intelligence to identify strategic goals related to legal team data utilization. 
  • Helps to develop strategies for best practices on data science projects
  • Sets and manages project milestones and dates
  • Performs other related duties as assigned 
  • Provides guidance and best practice advice to data science interns 

  • Bachelor's Degree required; Master’s degree in Data Science, Computer Science, Software Engineering or similar related field of study desirable
  • Minimum of 1 year of relevant technology experience required
  • Working knowledge of software development and scripting languages such as Python, C#, JavaScript, HTML
  • Ability to program un-assisted by LLMs if needed
  • Proficient with prompting and working with LLMs
  • Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn, PyTorch, MLflow, matplotlib, and numpy
  • Knowledge of developing applied AI applications with packages such as langchain or through custom LLM app pipelines
  • Basic understanding of developing within or integrating with cloud environments such as Azure or AWS
  • Office 365 application proficiency (Outlook, Word, Excel, PowerPoint and Teams) 
  • Experience with data analysis and reporting
  • Experience with Dev Ops
  • Knowledge of SQL and data mining tools 
  • Strong written and verbal communication and customer service skills, along with experience using advanced tools for effective communication 
  • Must be able to work independently and in a team environment to prioritize and perform multiple duties simultaneously while maintaining superior attention to detail, accuracy, and organization 

TBD

Apply