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Data Analyst Data Scientist Jobs in Wisconsin (NOW HIRING)

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 ...

New

Lead exploratory data analysis to cull actionable insights * Collaborate with stakeholders to ... Translate data science outputs into business outcomes and value delivered * Mentor and guide junior ...

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 ...

New

WI ยท On-site

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... We are looking for a Senior Data Scientist with a good blend of data analytics background ...

The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science function. The analyst turns the Firm's data, client data, and the extensive internal data the Firm ...

The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science function. The analyst turns the Firm's data, client data, and the extensive internal data the Firm ...

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and analytics capability at an exciting time as this is an opportunity to help shape a modern analytics ...

Data Scientist

Cornell, WI ยท On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Strong experience analyzing and deriving insights from complex healthcare data, including EHR and ...

Data Scientist

Cornell, WI ยท On-site

$74K - $111K/yr

Data Scientist Position Summary The Data Scientist builds, validates, and supports the deployment ... Strong experience analyzing and deriving insights from complex healthcare data, including EHR and ...

We are looking for a Data Scientist to join our Operational Intelligence team, growing data and analytics capability at an exciting time as this is an opportunity to help shape a modern analytics ...

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable ...

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable ...

Analyze large and complex datasets to identify business trends, operational efficiencies, customer ... Define enterprise data standards, metadata management practices, and data governance processes.

New

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the Data Analytics and Business Intelligence team. The Data Science Analyst is responsible for the ...

Showing results 21-40

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

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

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.

Sr Data Scientist

ATI

Cudahy, WI โ€ข On-site

Full-time

Posted 3 days ago

New


Job description

Proven to Perform.
From the edges of space to the bottoms of ocean, our materials are proven to perform -- and so is our team. We're hiring high performers as proven as our products. Join us.
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 variety of areas, including Machine learning predictions of material properties, thermal management of forgings, automated characterization methods, and design and improvement of manufacturing processes.
A successful Sr Data Scientist will work cross-functionally across multiple levels, operate effectively in early-stage development of processes and procedures, and will possess a strong Continuous Improvement mindset.
Additional Responsibilities
  • Map data from multiple sources into new structures.
  • Work with business subject matter experts to determine best solutions
  • Serve as a subject matter expert in the capabilities of Data Science.
  • Collaborate with business owners to solve business problems using a broad spectrum of data science tools, packages and visualization techniques.
  • Build models and optimization tools to support large scale projects that utilize online, offline data, structured, and unstructured data.

Basic Qualifications
  • M.S. degree in Engineering, Computer Science, or related field
  • Experience in deep learning, predictive modeling, data mining, and time series analysis.
  • Knowledge of image segmentation, generative models, convolutional neural networks.
  • Experience in applied machine learning.

Preferred Qualifications (in addition to Basic Qualifications)
  • Experience in PyTorch, Keras/Tensorflow.
  • Experience in explainable AI.
  • Experience in SQL data query, data cleaning
    • Experience in SAP Data Intelligence and/or Azure cloud computing a plus but not required.
  • If you have worked on PINN or used ML for solving materials science problem a big plus.

We thrive when the expectations are great, and the barriers are high. We're solving the world's most difficult challenges through materials science. Our advanced, integrated process technologies and proven performers give us a tremendous competitive advantage. When customers systems need to fly higher, dig deeper, stand stronger, and last longer -- anywhere on, above or below the earth -- ATI is proven to perform.
*It is ATI's policy to not provide immigration sponsorship for any of the company's positions.
ATI and its subsidiary companies will provide equal employment opportunities to all applicants without regard to applicant's race, color, religion, sex, gender, genetic information, national origin, age, veteran status, disability status, or any other status protected be federal or state law. The company will provide reasonable accommodations to allow an applicant to participate in the hiring process if so requested.