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Python Data Science Jobs in Wisconsin (NOW HIRING)

KOHLS

Data Scientist I (Remote)

Menomonee Falls, WI · On-site

About the Role In this role you will work with a data science team and cross-functional partners to ... Experience using modern analytics tools, programming languages, and cloud platforms such as Python ...

KOHLS

Data Scientist II (Remote)

Menomonee Falls, WI · On-site

About the Role In this role you will work with a data science team and cross-functional partners to ... Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R ...

U.S. Venture

Principal Data Scientist

Appleton, WI · On-site

Setting the standard for engineering quality and coding practices used by the Data Science Team, while personally producing production-grade work in the languages used at U.S. Venture (SQL, R, Python ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI

At least 6+ years of data science/engineering experience * Strong problem-solving skills with an emphasis on product development. * Strong experience using statistical computer languages (Python, SLQ ...

The Home Depot

Senior Data Scientist

Milwaukee, WI

At least 6+ years of data science/engineering experience * Strong problem-solving skills with an emphasis on product development. * Strong experience using statistical computer languages (Python, SLQ ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Experience programming in Python is preferred * Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining ...

SynergisticIT

Python Developer - Remote

Madison, WI · On-site

$50.75 - $69.75/hr

For data science/machine learning positions required skills include a bachelors degree or masters ... AI, LLM, Python, computer vision, data visualization tools excellent written and verbal ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Experience programming in Python is preferred * Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc. * Experience explaining ...

Johnson Controls

Senior Data Scientist

Milwaukee, WI · On-site

At least 6+ years of data science/engineering experience * Strong problem-solving skills with an emphasis on product development. * Strong experience using statistical computer languages (Python, SLQ ...

Generac

Data Scientist II

Waukesha, WI · On-site

... in a Data Science / Machine Learning position. * Professional experience with Python. * Experience with SQL. * Experience with version control (GitHub or similar) in a team environment.

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How much do python data science jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for python data science in Wisconsin is $59.17, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
What are the most commonly searched types of Python Data Science jobs in Wisconsin? The most popular types of Python Data Science jobs in Wisconsin are:
What are popular job titles related to Python Data Science jobs in Wisconsin? For Python Data Science jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Wisconsin look for? The top searched job categories for Python Data Science jobs in Wisconsin are:
Python Data Science jobs near you
Infographic showing various Python Data Science job openings in Wisconsin as of June 2026, with employment types broken down into 3% As Needed, 50% Full Time, 41% Part Time, 4% Contract, and 2% Nights. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $123,073 per year, or $59.2 per hour.
Data Scientist I (Remote)

Data Scientist I (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Posted 11 days ago

Kohl's rating

5.7

Company rating: 5.7 out of 10

Based on 1,443 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

Workplace

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