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Python Data Scientist Jobs in Milwaukee, WI (NOW HIRING)

KOHLS

Data Scientist (Remote)

Menomonee Falls, WI · On-site

Experience using modern analytics tools, programming languages, and cloud platforms such as Python ... Bachelor's of Science in Data Science, Computer Science, Statistics, Applied Mathematics or ...

Kiongroup

Operational Data Scientist

Wauwatosa, WI

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and ... Proficiency in Python and/or R, with strong SQL skills for data access and manipulation

Posted today

Fiserv, Inc.

Sr Data Scientist

Milwaukee, WI · On-site

Job Title Sr Data Scientist TITLE: Sr Data Scientist EMPLOYER: Fiserv Solutions, LLC LOCATION ... with Python programming language; 4 years deploying, monitoring, and maintaining ML/DL model ...

Kiongroup

Operational Data Scientist

Wauwatosa, WI

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and ... Proficiency in Python and/or R, with strong SQL skills for data access and manipulation

Posted today

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Proficiency with Python, R, SQL, or similar tools to manipulate large, complex healthcare data sets ...

US Bank

Senior Data Scientist

Brookfield, WI · On-site

$132K - $155K/yr

... python/R/SAS/SQL for data extraction, data mining, and predictive analytics - Demonstrated project management skills - Effective interpersonal, verbal and written communication skills If there ...

Varsity Tutors

Python Tutor

Milwaukee, WI · Remote

$18 - $40/hr

... students for data science, web development, automation, and computer science coursework ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

TIER4 GROUP

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

... data scientist supporting marketing efforts for our Fortune 500 client. The role focuses on ... Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI.

Varsity Tutors

Data Science Tutor

Milwaukee, WI · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... SQL, Python or R programming, hypothesis testing, and communication of data-driven insights.

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All JobsPython Data Scientist JobsPython Data Scientist Jobs in Milwaukee, WI

Python Data Scientist information

See Milwaukee, WI salary details

$36.9K

$120.9K

$193.6K

How much do python data scientist jobs pay per year?

As of Aug 12, 2026, the average yearly pay for python data scientist in Milwaukee, WI is $120,927.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $134,000.00 per year, depending on experience, location, and employer.

How much does a Python Data Scientist make?

A Python Data Scientist's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually in the United States. Senior roles or those with advanced skills in machine learning and big data tools can earn higher compensation. Certifications and a strong portfolio can also influence salary levels.

What is the difference between Python Data Scientist vs Data Analyst?

AspectPython Data ScientistData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, basic statistics, data visualization
CertificationsData Science certifications, Python programming coursesData analysis or business intelligence certifications
Work EnvironmentData science teams, R&D, predictive modeling projectsBusiness units, reporting, data visualization tasks
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Python Data Scientists focus on building predictive models and advanced analytics using Python, while Data Analysts primarily interpret data through visualization and reporting. Both roles require strong analytical skills, but Python Data Scientists typically have more programming and machine learning expertise, making them suitable for complex data projects.

What are some common challenges faced by Python data scientists when working with large datasets?

Python Data Scientists often encounter challenges related to processing and analyzing large datasets, such as memory limitations and slow computation times. To address these, professionals typically use libraries like Pandas, Dask, or PySpark to optimize data handling and leverage parallel computing. Collaborating closely with data engineers and IT teams can also help in setting up efficient data pipelines and scalable infrastructure. Staying updated with best practices in data preprocessing and model optimization is crucial for managing these challenges effectively.

What is a Python data scientist?

A Python Data Scientist is a professional who uses Python programming language and its data analysis libraries to extract insights from large datasets. They apply statistical techniques, machine learning algorithms, and data visualization tools to solve business problems and make data-driven decisions. Python Data Scientists often work with tools like pandas, NumPy, scikit-learn, and Jupyter notebooks to manipulate data and build predictive models. Their role typically involves collecting, cleaning, analyzing, and interpreting complex data to help organizations make informed decisions.

What are the key skills and qualifications needed to thrive as a Python data scientist, and why are they important?

To thrive as a Python Data Scientist, you need strong analytical skills, a solid understanding of statistics, machine learning, and proficiency in Python programming, typically backed by a degree in computer science or a related field. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, and version control systems like Git is essential. Problem-solving, curiosity, and effective communication are standout soft skills for this role. These abilities are crucial for extracting actionable insights from data, building predictive models, and collaborating across multidisciplinary teams.

Is Python good for data science?

Python is widely used by data scientists due to its simplicity, extensive libraries like Pandas, NumPy, and scikit-learn, and strong community support. It enables efficient data analysis, modeling, and visualization, making it a preferred programming language in the data science field.
What are popular job titles related to Python Data Scientist jobs in Milwaukee, WI? For Python Data Scientist jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Python Data Scientist jobs in Milwaukee, WI look for? The top searched job categories for Python Data Scientist jobs in Milwaukee, WI are:
Python Data Scientist jobs near you
Infographic showing various Python Data Scientist job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $120,927 per year, or $58.1 per hour.

Data Scientist (Remote)

KOHLS

Menomonee Falls, WI • On-site

Other

Re-posted 22 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

Workplace

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