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Data Scientist Machine Learning Jobs in Wisconsin

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 ...

You should have deep expertise data science, machine learning and statistical analysis, and the ability to scope out project requirements, time estimates, and resources needed. You should have ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

As a Data Scientist your work may be focused in a variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods ...

Masters or PhD in a field that is emphasized in building and maintaining machine learning models that help drive insights, along with thought leadership in the data science field. * 5+ years of ...

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 ...

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

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

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 ...

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Data Scientist Machine Learning information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do data scientist machine learning jobs pay per year?

As of May 29, 2026, the average yearly pay for data scientist machine learning in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a Data Scientist Machine Learning job?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

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

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What are the typical day-to-day responsibilities of a Data Scientist Machine Learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.
What are the most commonly searched types of Data Scientist Machine Learning jobs in Wisconsin? The most popular types of Data Scientist Machine Learning jobs in Wisconsin are:
What are popular job titles related to Data Scientist Machine Learning jobs in Wisconsin? For Data Scientist Machine Learning jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Data Scientist Machine Learning jobs? Cities in Wisconsin with the most Data Scientist Machine Learning job openings:
Infographic showing various Data Scientist Machine Learning job openings in Wisconsin as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,886 per year, or $59.6 per hour.
Data Scientist I

Data Scientist I

KOHLS

Menomonee Falls, WI

Other

Posted 7 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,434 frontline employees who took The Breakroom Quiz

11th 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

Workplace

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