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Python Data Scientist Jobs in Wisconsin (NOW HIRING)

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

Extremely efficient in Python and R. Extremely efficient in identifying right analytics model ... MS in AI/Data Science would also be a plus. Qualifications Data Science, Analysis, Python, R ...

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 ...

... SQL, R, Python). * Proficient in executing of the following: * Advanced statistical modeling ... Innovation * The Data Science Team is one of the teams at the forefront of innovation at ...

Junior Data Scientist

Milwaukee, WI ยท Hybrid

$68K - $93K/yr

Write clean, well-documented Python for data processing, modeling, and analysis * Work with SQL to ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

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 ...

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 ...

The Sr. Data Scientist wilil play an important role in this strategic initiative. This person will ... Advanced experience with Python, R, SQL, and any other related programs for executing the above ...

You will work on a skilled team of passionate data scientists and meteorologists. Examples of ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

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 ...

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Python Data Scientist information

See Wisconsin salary details

$37.9K

$123.9K

$198.3K

How much do python data scientist jobs pay per year?

As of Jun 18, 2026, the average yearly pay for python data scientist in Wisconsin is $123,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $137,300.00 per year, depending on experience, location, and employer.

What does a data scientist do with Python?

A data scientist uses Python to analyze data, build models, and create visualizations. They often utilize libraries like pandas, scikit-learn, and TensorFlow to extract insights and develop predictive algorithms, making Python a key tool in their workflow.

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.

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 advanced skills in machine learning and big data tools can earn higher salaries, often exceeding $150,000.

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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to optimize model performance and efficiency.

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 job categories do people searching Python Data Scientist jobs in Wisconsin look for? The top searched job categories for Python Data Scientist jobs in Wisconsin are:
What cities in Wisconsin are hiring for Python Data Scientist jobs? Cities in Wisconsin with the most Python Data Scientist job openings:
Infographic showing various Python Data Scientist job openings in Wisconsin as of June 2026, with employment types broken down into 74% Full Time, 17% Part Time, and 9% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $123,886 per year, or $59.6 per hour.
Data Scientist

Data Scientist

Innovizant LLC

Madison, WI โ€ข On-site

Full-time

Posted 8 days ago


Job description

Company Description
Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals.
Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics.
Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default)
With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events.
Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns.
Job Description
Role: Data Scientist
Location: Madison, WI
Full Time (Direct Hire)
Job description
โ€ข 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.
โ€ข Experience in Statistical modeling.
โ€ข Candidate will be helping the client to lead this process or improve upon the program.
โ€ข Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing.
โ€ข Extremely efficient in Python and R.
โ€ข Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must.
โ€ข Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.
โ€ข MS in AI/Data Science would also be a plus.
Qualifications
Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning
Additional Information
Thanks & Regards,
Aditya Prakash / Resource Manager / Innovizant LLC
Phone : 630-685-1260
aditya.prakash(AT)innovizant(DOT)com