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

We are looking for someone that leads data science projects from start to finish, defining the ... Professional experience with Python. * Experience with SQL. * Experience with version control ...

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 ...

Strong experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and ... A Data Science Lead should have excellent communication skills, including the ability to ...

Strong experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and ... A Data Science Lead should have excellent communication skills, including the ability to ...

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 ...

Strong experience using statistical computer languages (Python, SLQ, etc.) to manipulate data and ... A Data Science Lead should have excellent communication skills, including the ability to ...

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 ...

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 ...

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn ...

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn ...

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Foley & Lardner LLP is currently seeking a Data Science Engineer to join our Business Systems and ... Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn ...

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.

Auto req ID: 52054 Title: Mgr Data Science Job Function: Digital Location: JUNEAU Workplace ... Expert level knowledge of Python, R, Azure, Spark, and other common languages, data platforms, and ...

Auto req ID: 52054 Title: Mgr Data Science Job Function: Digital Location: JUNEAU Workplace ... Expert level knowledge of Python, R, Azure, Spark, and other common languages, data platforms, and ...

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Python Data Scientist information

See Milwaukee, WI salary details

$36.9K

$120.8K

$193.4K

How much do python data scientist jobs pay per year?

As of Jul 2, 2026, the average yearly pay for python data scientist in Milwaukee, WI is $120,822.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $133,900.00 per year, depending on experience, location, and employer.

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 advanced skills in machine learning, statistical analysis, and proficiency in tools like Pandas and TensorFlow tend to earn higher salaries.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in the Python Data Scientist role, 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 industry, often complemented by knowledge of SQL and data management skills.

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.

Is Python in high demand?

Python Data Scientists are in high demand across industries such as technology, finance, and healthcare due to Python's versatility and extensive libraries for data analysis, machine learning, and automation. Proficiency in Python, along with skills in data manipulation and visualization tools like Pandas and Matplotlib, can improve job prospects as organizations increasingly rely on data-driven decision making.

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.

Is 40 too late for data science?

Age is not a barrier to becoming a Python Data Scientist. Many professionals transition into data science later in their careers by acquiring relevant skills such as Python, machine learning, and data analysis, often through online courses or certifications. Success depends on your ability to learn, adapt, and build a strong portfolio of projects regardless of age.

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 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:
Data Scientist II

Data Scientist II

Generac

Waukesha, WI • On-site

Full-time

Posted 10 days ago


Generac Power Systems rating

7.0

Company rating: 7.0 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

294th of 421 rated machine equipment manufacturers


Job description

We are Generac, a leading energy technology company committed to powering a smarter world.

Over the 60 plus years of Generac's history, we've been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries.

As a senior member of the team, you will have significant responsibility and influence in shaping its future direction. We are looking for someone that leads data science projects from start to finish, defining the problem, identifying opportunities building proofs of concept and implements them as a data product.

You should have deep expertise data science, machine learning and statistical analysis, and the ability to scope out project requirements, time estimates, and resources needed. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build highly scalable systems.

Successful candidates will have strong engineering skills and communication, as well as a belief that data driven processes lead to great products. You will need to have a passion for quality and an ability to understand complex systems.

Essential Duties:

  • We are looking for someone that leads data science projects from start to finish, defining the problem, identifying opportunities building proofs of concept and implements them as a data product.
  • Interact with different teams (Product, Data Platform, Frontend, etc.) to reach common ground and strive for win-win scenarios.
  • Keep updated with the state-of-the-art algorithms and techniques on the field and evaluate them in our business context.
  • Tell engaging data stories for both technical and non-technical audiences.
  • Transform business problems and opportunities into data product solutions.
  • Act as a mentor to junior data scientist.
  • Review pull requests from fellow team members.
  • Evaluate project ideas and provide technology input, prescribing appropriate application solutions, which balance business requirements with Generac's technology standards to arrive at the optimal solution.
  • Write user and technical specifications in line with business needs.

Basic Qualifications:

  • Bachelor's Degree in Computer Science, Math, Physics, Engineering, Statistics or related field,
  • 2+ years of experience post-grad 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.
  • Demonstrated experience applying machine learning and data mining techniques.

Preferred Qualifications:

  • Master's and/or PhD are a strong plus
  • Experience in agentic AI across organization
  • Experience in cloud environments (AWS / Azure) are a strong plus

Knowledge, Skills, and Abilities:

  • Strong communication skills and commitment to teamwork
  • Sharp analytical abilities and proven design skills
  • Strong sense of ownership, urgency, and drive
  • Proven leadership abilities in an engineering environment in driving operational excellence and best practices.

Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel.

"We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law."


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