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

Rogers Behavioral Health

Data Analyst

Oconomowoc, WI · On-site +1

... Python, and others. Data Extraction and Utilization: * Collaborate with the team to develop a ... Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

... Python, and Scala. * Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable ... Collaborate with stakeholders, data scientists, and full stack engineers to deliver trusted ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... Science, or a related field; or comparable experience. Minimum of 3 years' experience in data ... Python, R, PowerShell, or others). Strong Analytical and problem-solving skills Demonstrated ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI

$86K - $108K/yr

Bachelor's degree in Data Science, Computer Science, Industrial Engineering, Statistics, or a ... Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis. * Expertise ...

KOHLS

Senior MLOps Engineer (Remote)

Menomonee Falls, WI · On-site

$104K - $144K/yr

What You'll Do * Collaborate with Data Scientists and Engineers across the full ML lifecycle ... Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit ...

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$114K - $138K/yr

Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Information Systems ... Strong proficiency in SQL and at least one programming language such as Python, C#, Java, or Scala.

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$36.9K

$120.9K

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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 Analyst

Rogers Behavioral Health

Oconomowoc, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 12 days ago

Rogers Behavioral Health rating

6.0

Company rating: 6.0 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

748th of 887 rated healthcare providers

Job description

Summary:
The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning the fundamentals of data analysis and developing foundational skills to contribute to the organization's data-driven initiatives. The Data Analyst will assist senior team members while also creating output to help system leaders in understanding key metrics.
Job Duties & Responsibilities:
Data Gathering and Reporting:
  • Assist in retrieving data from various sources and build reports and dashboards to visualize key metrics to system leader and/or assist with creating research datasets
  • Participate in data management tasks by querying and merging datasets.
  • Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others.

Data Extraction and Utilization:
  • Collaborate with the team to develop a fundamental understanding of data sources and the data extraction process.
  • Support team with data extraction and utilization efforts.
  • Assist with contextualizing data and data flow automation.

Collaboration and Learning:
  • Work closely with data analysts and leaders to understand business needs and contribute to data-driven decision-making.
  • Participate in innovative data analysis projects and contribute to the organization's journey towards becoming more data-driven.

Data Analysis Support:
  • Learn and provide support for data analysis tasks, such as data cleaning and statistical analysis.
  • Contribute to data-driven hypothesis testing, A/B testing, regression analysis, and other statistical methods.

Effective Communication:
  • Participate in meetings and assist in presenting basic reports, findings, and analyses to stakeholders within the system.

Promote a team atmosphere by treating individuals with respect and honesty and by using direct communication and active listening skills.
  • Be open to change and actively support change.
  • Be open to others' ideas and points of view.
  • Evaluate employees objectively and provide employees with periodic feedback.

Promote department goals as well as the mission of the hospital.
  • Communicate goals to fellow staff members.
  • Maintain department policies and procedures.
  • Include requirements and guidelines from external agencies (i.e., Joint Commission, State of Wisconsin).
  • Maintain and/or communicate to appropriate party function backlog at a set time.
  • Educate new staff regarding regulations or requirements of those functions that relate to their areas or departments, as directed.
  • Demonstrate acceptance and training of student interns in the department, as directed.

Participate in hospital committees, performance improvement team meetings, and team projects, as directed.
  • Demonstrate punctuality and preparedness.
  • Demonstrate effective communication skills.
  • Demonstrate good organizational skills.
  • Contribute in a positive, solution-focused manner.

Conduct self in a professional manner.
  • Demonstrate organizational skills that promote timely response to all inquiries and to task completion.
  • Communicate with all individuals in a positive and professional manner.
  • Attempt to resolve individual issues with peers in a positive, calm manner, with a focus on solution.
  • Communicate concerns and provide solutions for same.
  • Project a professional image by wearing appropriate, professional attire.
  • Ability to influence departments within Rogers and provide technical guidance.

Additional Job Description:
Requirements/Qualifications
  • Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics, psychology, etc.).
  • 1-3 years of experience in a data analysis-related role
  • Strong interest in data analysis and a willingness to learn and grow in the field.
  • Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.).
  • Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.).
  • Experience querying data using SQL scripting.
  • Experience with Microsoft Fabric is highly preferrred.
  • A desire to build foundational knowledge in advanced analytic/statistical methods.
  • Exceptional written and verbal communication skills.
  • A meticulous and detail-oriented approach.

With a career at Rogers, you can look forward to a Total Rewards package of benefits, including:
  • Health, dental, and vision insurance coverage for you and your family
  • 401(k) retirement plan
  • Employee share program
  • Life/disability insurance
  • Flex spending accounts
  • Tuition reimbursement
  • Health and wellness program
  • Employee assistance program (EAP)

Through UnitedHealthcare, UMR and HealthSCOPE Benefits creates and publishes the Machine-Readable Files on behalf of Rogers Behavioral Health. To link to the Machine-Readable Files, please visit Transparency in Coverage (uhc.com)

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