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Statistical Scientist Jobs in Wisconsin (NOW HIRING)

Develop and implement statistical and machine learning models to solve business problems within a cross-functional team * Collaborate with senior data scientists to fine-tune, optimize and ensure the ...

WI · On-site

$95 - $130/hr

Job Summary Leads the analysis of complex and unstructured data sets using advanced statistical ... Reports to the Manager of Data Science. Minimum Qualifications * Bachelor's Degree in science ...

Experience in Statistical modeling. Candidate will be helping the client to lead this process or ... MS in AI/Data Science would also be a plus. Qualifications Data Science, Analysis, Python, R ...

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

Develop and implement statistical and machine learning models * Fine-tune, optimize and ensure the ... Translate data science outputs into business outcomes and value delivered * Mentor and guide junior ...

Senior Data Scientist

Madison, WI · On-site

  • Medical

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Develop and apply advanced statistical, machine learning, and computational methods to biological ...

Senior Data Scientist

Madison, WI

  • Medical

  • Life

  • Retirement

  • PTO

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Develop and apply advanced statistical, machine learning, and computational methods to biological ...

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Position Summary The Data Scientist, specializing in AI and Advanced Analytics, plays a key role ... Analyze structured and unstructured data to generate insights, statistical findings, and develop ...

Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related field and 4 years in any job title involving statistical and machine learning modeling experience.

Senior Data Scientist Position Summary Works closely with multi-disciplinary teams, including ... Develops and/or uses algorithms and statistical predictive models. Applies proficient knowledge in ...

As a consequence you will apply and/or learn a wide variety of statistical techniques including ... You will work on a skilled team of passionate data scientists and meteorologists. Examples of ...

As a consequence you will apply and/or learn a wide variety of statistical techniques including ... You will work on a skilled team of passionate data scientists and meteorologists. Examples of ...

Data Scientist II or III

Madison, WI · On-site

$85K/yr

  • Retirement

  • PTO

This role combines rigorous statistical analysis with modern data science practices, including use of GitHub for version control, collaboration, and reproducible analyses. The successful candidate ...

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Showing results 1-20

Statistical Scientist information

See Wisconsin salary details

$33.3K

$86.3K

$141.8K

How much do statistical scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for statistical scientist in Wisconsin is $86,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $112,500.00 per year, depending on experience, location, and employer.

How does a statistical scientist typically collaborate with cross-functional teams in a research or corporate environment?

Statistical Scientists regularly work alongside colleagues from diverse backgrounds such as data engineering, software development, product management, and subject matter experts. Their role often involves translating complex statistical analyses into actionable insights for non-technical stakeholders, ensuring that data-driven recommendations are clearly understood and implemented. Effective communication and teamwork are crucial, as Statistical Scientists may participate in interdisciplinary meetings, provide guidance on experimental design, and contribute to strategic decision-making based on statistical evidence.

What are the key skills and qualifications needed to thrive as a statistical scientist?

To thrive as a Statistical Scientist, you need advanced knowledge of statistics, data analysis, and mathematical modeling, often supported by a degree in statistics, mathematics, or a related field. Proficiency in statistical software such as R, SAS, or Python, and familiarity with data visualization platforms are typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help distinguish top performers in this role. These competencies are crucial for accurately analyzing complex data, conveying findings clearly, and supporting informed decision-making in research or business environments.

What is the difference between Statistical Scientist vs Data Analyst?

AspectStatistical ScientistData Analyst
Required CredentialsMaster's or PhD in Statistics, Mathematics, or related fieldBachelor's or Master's in Statistics, Data Science, or related field
Work EnvironmentResearch-focused, often in R&D or academia, but also in industryBusiness or operational settings, focusing on data reporting and visualization
Employer & Industry UsageTech, healthcare, finance, research institutionsRetail, marketing, finance, healthcare

While both roles analyze data, Statistical Scientists focus on developing new statistical methods and models, often working on complex research projects. Data Analysts primarily interpret existing data to generate reports and insights for business decisions. The roles overlap in skills and tools but differ in scope and depth of statistical expertise.

What is a statistical scientist?

Statistical Scientists are professionals who specialize in using statistical methods to collect, analyze, and interpret data. They design experiments, develop data models, and apply mathematical theories to solve real-world problems across various industries, including healthcare, finance, technology, and government. Their work helps organizations make informed decisions, identify trends, and develop predictive insights. Statistical Scientists often work closely with data scientists, researchers, and subject matter experts to ensure that data-driven conclusions are accurate and actionable.

What are popular job titles related to Statistical Scientist jobs in Wisconsin?

For Statistical Scientist jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Statistical Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $86,339 per year, or $41.5 per hour.

Data Scientist (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Re-posted 24 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,464 frontline employees who took The Breakroom Quiz

13th of 21 rated department stores


Job description

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.


 

What You’ll Do

  • Assist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlations

  • Conduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methods

  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions

  • Develop and implement statistical and machine learning models to solve business problems within a cross-functional team

  • Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithms

  • Document projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics

  • Identify and drive continuous improvement of key business metrics within the balanced team

  • Remain current on the latest trends and developments in data science and technology through self-learning and training opportunities

  • Additional tasks may be assigned

Addendum

DECISION SCIENCE 

Accountabilities

  • Begin to understand business challenges and their conversion into optimization problems, focusing on defining objectives and adhering to business constraints such as budget limitations and sell-through rates

  • Contribute to large-scale optimization and statistical analysis in web analytics, forecasting, supply chain management, pricing and inventory management

  • Contribute to the tuning of models by adjusting objective functions, constraints, etc.

Skills & Experience

  • Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc

  • BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field


 

What Skills You Have

Required

  • Experience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value

  • Experience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.

  • Strong problem-solving skills with an emphasis on product development

  • Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on results

  • Effective communication and collaboration skills

  • Bachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

  • 2+ years of progressively complex data science or analytics experience

Preferred

  • Master’s degree

  • Retail experience

  • Supply chain management

  • Marketing models

  • Logistics experience


What Kohl's employees say

Pay

Benefits

Hours and flexibility

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