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Data Analyst Data Scientist Jobs in Wisconsin (NOW HIRING)

Innovizant LLC

Data Scientist

Madison, WI · On-site

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 ...

Innovizant LLC

Data Scientist

Madison, WI

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 ...

TIER4 GROUP

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

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 ...

ATI

Data Scientist

Cudahy, WI · On-site

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI. As a Data Scientist your work may be focused in a variety ...

Next Gen Alloys

Data Scientist

Cudahy, WI

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI. As a Data Scientist your work may be focused in a variety ...

ATI

Data Scientist

Cudahy, WI

ATI is seeking to hire a Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI. As a Data Scientist your work may be focused in a variety ...

Valid8 Financial, Inc.

Data Scientist

Appleton, WI · On-site

$120 - $180/hr

Position Summary The Data Scientist, specializing in AI and Advanced Analytics, plays a key role within Amplifi's consulting team, combining hand‑on technical execution with client advisory to ...

KOHLS

Data Scientist (Remote)

Menomonee Falls, WI · On-site

Conduct exploratory data analysis to cull actionable insights using analytical rigor and ... Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models ...

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

Data Scientist Analyst Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support ...

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, fostering collaboration and connectivity, while providing flexibility to support productivity and work ...

Memorial Hermann Health System

WI · On-site

$95 - $130/hr

Job Summary Leads the analysis of complex and unstructured data sets using advanced statistical ... Reports to the Manager of Data Science. Minimum Qualifications * Bachelor's Degree in science ...

ATI

Sr Data Scientist

Cudahy, WI · On-site

ATI is seeking to hire a Sr Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI. As a Sr Data Scientist your work may be focused in a ...

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All JobsData Analyst Data Scientist JobsData Analyst Data Scientist Jobs in Wisconsin

Data Analyst Data Scientist information

See Wisconsin salary details

$46.4K

$166.6K

$245.8K

How much do data analyst data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for data analyst data scientist in Wisconsin is $166,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,700.00 and $171,600.00 per year, depending on experience, location, and employer.

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

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.

What are popular job titles related to Data Analyst Data Scientist jobs in Wisconsin?

For Data Analyst Data Scientist jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Analyst Data Scientist jobs in Wisconsin look for?

The top searched job categories for Data Analyst Data Scientist jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Analyst Data Scientist jobs?

Cities in Wisconsin with the most Data Analyst Data Scientist job openings:

Data Analyst Data Scientist jobs near you
Infographic showing various Data Analyst Data Scientist job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $166,561 per year, or $80.1 per hour.

Data Scientist

Innovizant LLC

Madison, WI • On-site

Full-time

Re-posted 6 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
• 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science.
• Experience in Statistical modeling.
• Candidate will be helping the client to lead this process or improve upon the program.
• Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing.
• Extremely efficient in Python and R.
• Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must.
• Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge.
• 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

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