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Python Data Science Jobs in Wisconsin (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

... 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.

They will also serve as a Product Manager of the data science and AI model(s), capturing feedback ... Advanced experience with Python, R, SQL, and any other related programs for executing the above ...

... a Data Science or Machine Learning role. * 5+ Years of Experience Proficiency in programming languages such as Python or R. * 5+ Years of Experience with Strong knowledge of machine learning ...

Junior Data Scientist

Milwaukee, WI · Hybrid

$68K - $93K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field * Hands-on experience with Python and/or R - coursework, projects, internships, or personal work all ...

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How much do python data science jobs pay per hour?

As of Jun 8, 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.

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.

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.

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:
Infographic showing various Python Data Science job openings in Wisconsin as of May 2026, with employment types broken down into 73% Full Time, 21% Part Time, 1% Temporary, and 5% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $123,073 per year, or $59.2 per hour.
Data Scientist II (Remote)

Data Scientist II (Remote)

KOHLS

Menomonee Falls, WI • On-site, Remote

Other

Posted 2 days ago


Kohl's rating

5.8

Company rating: 5.8 out of 10

Based on 1,435 frontline employees who took The Breakroom Quiz

12th 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

  • Lead exploratory data analysis to cull actionable insights

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

  • Develop and implement statistical and machine learning models 

  • Fine-tune, optimize and ensure the scalability of models and algorithms

  • Aid in designing experiments to answer targeted questions

  • Identify and drive continuous improvement of key business metrics in an assigned business functional area

  • Drive adoption and usage of data science products and models

  • Translate data science outputs into business outcomes and value delivered

  • Mentor and guide junior data scientists, providing technical expertise and fostering a culture of continuous learning and development

  • Stay up to date on the latest trends and developments in data science and technology and identify implementation opportunities to support innovation at Kohl’s

  • Additional tasks may be assigned

Addendum

PERSONALIZATION & RECOMMENDATION SYSTEMS

Accountabilities

  • Design and support deployment of machine learning models to power personalized experiences across digital channels (e.g., homepage, PDP, cart, campaigns)

  • Build and optimize recommendation and ranking systems balancing relevance, discovery, and business objectives (e.g., conversion, revenue)

  • Develop multi-stage ranking approaches, including candidate generation and re-ranking

  • Address cold-start and long-tail challenges in large product catalogs

  • Partner with engineering to support real-time personalization and scalable deployment

Skills & Experience

  • Experience with recommendation systems, search, or ranking problems at scale of millions of customers and products

  • Experience in developing sequential, transformer models and utilizing LLM models in production

  • Understanding of collaborative filtering and learning-to-rank methods

  • Experience optimizing models for GPU / distributed training

  • Familiarity with large-scale datasets and production ML systems

  • Exposure to real-time or low-latency serving environments

  • Experience with vector search / ANN methods (e.g., FAISS, ScaNN) preferred

  • Experience with delivering end to end customized ML models in production environment

Required

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

  • 3+ years of progressively complex data science experience

  • Extensive experience developing and deploying state-of-the-art algorithms using machine learning, statistical and optimization methods 

  • Expert in using modern analytics tools, programming languages, and cloud platforms (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 iterating quickly

  • Effective communication and collaboration skills at all levels 

Preferred

  • Master’s degree and/or Ph.D.

  • Retail and Logistics experience

  • Supply chain management

  • Marketing models


What Kohl's employees say

Pay

Benefits

Hours and flexibility

Workplace

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