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Data Mining Jobs in Wisconsin (NOW HIRING)

WI · On-site

$90 - $120/hr

Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets. * Applies modern and emerging data science techniques to solve business problems ...

New

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 ...

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

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

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

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 ...

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 ...

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 ...

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 ...

New

... mining * Organizes and automates project steps for data preparation and analysis Department: School of Medicine and Public Health, Population Health Institute The UW Population Health Institute ...

... data mining, and predictive analytics - Demonstrated project management skills - Effective interpersonal, verbal and written communication skills If there's anything we can do to accommodate a ...

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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 7, 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 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?

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 the most commonly searched types of Data Mining jobs in Wisconsin? The most popular types of 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:
Infographic showing various Data Mining job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $70,654 per year, or $34 per hour.

Data Scientist, Specialist

慨正橡扯

WI • On-site

$90 - $120/hr

Other

Posted 2 days ago

New


Job description

We're the AI Center of Excellence within the Chief Data and Analytics Office. We work on projects that enable AI practitioners build AI products quickly and confidently. We work on many open problems around AI safety and evaluations. One way that we do so is by finding vulnerabilities in Gen AI applications with an automated adversarial testing service. We're looking for people who are technically sharp and effective communicators to help design and deploy this service. This role leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making, while mentoring junior data scientists and analysts, and applying advanced data science and big data mining techniques to uncover trends, inform strategic initiatives, and drive innovation across diverse business functions.

Responsibilities
  • Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
  • Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making. Mentors and develops junior data scientists and analysts.
  • Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
  • Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses. Brings structure to requests and translates requirements into an analytic approach.
  • Guides test design, research design, and model validation. Provides statistical consultation services. Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
  • Prepares and delivers insight presentations and action recommendations. Communicates complex analytical findings and implications to business leaders.
  • Participates in special projects and performs other duties as assigned.
  • Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
  • Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
  • Contributes to the advancement of analytics through exploratory research and application of cutting‑edge statistical theory.
Qualifications
  • Minimum 5 years of experience in data science, predictive analytics, or advanced statistical modeling roles
  • Expertise in programming with Python, R, or SQL; hands‑on experience with machine learning libraries (e.g., Scikit-learn, TensorFlow); strong understanding of data pipelines, data wrangling, and statistical techniques; experience in big data environments (Spark/Hadoop); familiarity with visualization tools like Tableau or Power BI
  • Bachelor’s degree in Analytics, Applied Mathematics, Economics, Statistics, or Computer Science, or a Master’s degree/Diploma in a related quantitative field
Special Factors Sponsorship

Vanguard is not offering visa sponsorship for this position.

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