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

TIER4 GROUP

Senior Data Analyst

Milwaukee, WI · On-site

$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.

Cliftonlarsonallen

Manager of Data Science

Racine, WI · On-site

... in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping ... As Manager of Data Science, you will have to following responsibilities: Leadership * Provide ...

Generac

Data Science Analyst

Waukesha, WI

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... R, Python, SQL). * Experience on using the cloud platform (ex Azure, AWS..) * Experience with ...

MARS Solutions Group

Product Design Engineer

Milwaukee, WI · On-site

$127K - $152K/yr

Requirements Ability to travel 10% of the time Bachelor's Degree preferred in Science, Technology ... Experience utilizing Microsoft Excel for data analysis and proficiency in MS Power BI, SQL, Python ...

Charter Manufacturing Company, Inc.

Data Architect

Mequon, WI · On-site

$56.50 - $72.75/hr

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related ... Experience with Azure Data Services, Snowflake, Databricks, PySpark, SQL, Python, Tableau, Power BI ...

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

Python Data Scientist information

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$36.9K

$120.9K

$193.6K

How much do python data scientist jobs pay per year?

As of Sep 2, 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.

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 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 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.

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.

How much do Python data scientists make?

Python data scientists typically earn between $80,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and big data can command higher salaries, often exceeding $150,000. Compensation may also include bonuses and stock options in some companies.

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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $120,927 per year, or $58.1 per hour.

Senior Data Analyst

TIER4 GROUP

Milwaukee, WI • On-site

$84K - $106K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Description
Job Description

Title: Sr Data Analyst

Location: Milwaukee, WI

Type: Hybrid (3 days onsite per week)

Duration: ASAP - May 2025

Perks: Competitive Rates, Benefits, Free Daily Lunch When Onsite


Role Summary

This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The role focuses on analyzing campaigns, understanding business processes, and distributing insights via dashboards. You will collect, validate, and deeply analyze data to uncover insights that drive marketing decisions, ensuring alignment with key objectives and results (OKRs). This is not a traditional BI role but one that requires critical thinking, asking the right questions, and leveraging data to move marketing initiatives forward.


Key Responsibilities

  • Develop and deliver user-friendly dashboards and reports to provide actionable insights and recommendations.
  • Perform data collection, QA checks, and in-depth analysis to understand and improve marketing campaigns and business processes.
  • Ask insightful questions to uncover underlying data trends and inform strategic marketing decisions.
  • Conduct campaign and business analysis, using data to identify opportunities and drive forward marketing objectives.
  • Partner with stakeholders to translate findings into meaningful strategies and plans.


Technical Skills and Requirements

  • Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI.
  • Strong data collection, quality assurance, and analytical skills to ensure accurate and reliable insights.
  • Proven experience conducting deep data dives to support decision-making.
  • Ability to grasp and analyze complex business processes and campaign performance.


Must-Haves

  • Expertise in research and data analysis with a proven track record of delivering actionable insights.
  • Ability to systematically gather, evaluate, and interpret data to uncover patterns and trends.
  • Strong communication skills to present findings effectively to stakeholders.
  • A results-driven mindset, with the ability to manage multiple priorities and meet deadlines.


Ideal Candidate Traits

  • A proactive approach to problem-solving, with curiosity and creativity to explore beyond routine tasks.
  • Experience in marketing-focused analysis, including campaign performance evaluation.
  • A collaborative and inclusive attitude, with a willingness to mentor and share insights with peers.


This role offers an exciting opportunity to blend data science with marketing strategy, driving impactful decisions and contributing to organizational success.


Apply