ZipRecruiter

Log In

1

Data Science Analyst Jobs in Wisconsin (NOW HIRING)

Alterman, Inc.

WI · On-site

The Data Scientist is responsible for leveraging advanced analytics, statistical models, and machine learning techniques to uncover insights from structured and unstructured data. This role supports ...

Tiger Analytics

WI · On-site

Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization. * Develop and implement predictive models ...

Soteria Reinsurance Ltd.

WI · On-site

Develop best practices for data science, considering the full analytical lifecycle. * Ensure the delivery of high-quality, trustworthy data science by developing guidelines and rigorous evaluation ...

Secure Technologies Group

WI · On-site

We work every day to use data analytics and data science to further mission success! To get started in this exciting opportunity, you need a TS/SCI clearance with at least a CI polygraph. * At ...

ATI

Data Scientist

Cudahy, WI · On-site

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

ATI

Data Scientist

Cudahy, WI · On-site

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

Next Gen Alloys

Data Scientist

Cudahy, WI · On-site

B.S. degree in computer science, engineering with a strong statistical and programming background. * Experience in deep learning, predictive modeling, data mining, and time series analysis.

Elephas

Senior Data Scientist

Madison, WI · On-site

Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field * Strong background in quantitative analysis and ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field * Strong background in quantitative analysis and ...

Elephas

Senior Data Scientist

Madison, WI · On-site

Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field * Strong background in quantitative analysis and ...

Tiger Analytics

WI · On-site

Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization. * Develop and implement predictive models ...

ManpowerGroup

Data Scientist

Milwaukee, WI · On-site

Transform data science insights into scalable analytical products and decision-support capabilities for business functions. Gaining Exposure Collaborate with business leaders, product owners, Data ...

Manpower Group

Data Scientist

Milwaukee, WI · On-site

Transform data science insights into scalable analytical products and decision-support capabilities for business functions. Gaining Exposure Collaborate with business leaders, product owners, Data ...

Manpower

Data Scientist

Milwaukee, WI · On-site

Transform data science insights into scalable analytical products and decision-support capabilities for business functions. Gaining Exposure Collaborate with business leaders, product owners, Data ...

Polco

Data Scientist

Madison, WI · On-site

A graduate degree will be helpful, but not required. * 2+ years of applied, non-academic industry experience in data science or quantitative analysis. A strong applied-project or capstone portfolio ...

previous pagenext page

Showing results 21-40

All JobsData Science Analyst JobsData Science Analyst Jobs in Wisconsin

Data Science Analyst information

See Wisconsin salary details

$34.3K

$83.4K

$137.3K

How much do data science analyst jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data science analyst in Wisconsin is $83,413.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,100.00 and $97,900.00 per year, depending on experience, location, and employer.

What is a data science analyst?

Data Science Analysts are professionals who collect, process, and analyze large sets of data to uncover trends, patterns, and insights that help organizations make informed decisions. They use statistical methods, programming languages like Python or R, and data visualization tools to interpret data. Their work often supports business strategy, product development, or operational improvements by turning complex data into actionable information.

What are the key skills and qualifications needed to thrive as a data science analyst, and why are they important?

To thrive as a Data Science Analyst, you need a solid background in statistics, data analysis, and programming—often supported by a degree in a quantitative field. Familiarity with tools and languages such as Python, R, SQL, and data visualization software, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, is important. Strong problem-solving skills, curiosity, and the ability to communicate complex findings clearly help you stand out in this role. These skills enable effective data-driven decision-making and bridge the gap between technical analysis and business strategy.

What are some common challenges data science analysts face when working with cross-functional teams?

Data Science Analysts often collaborate with professionals from engineering, product, and business teams, which can present communication challenges due to varying levels of technical understanding. Translating complex analytical findings into actionable business insights requires strong communication skills and adaptability. Additionally, aligning data-driven recommendations with business objectives and timelines may require negotiation and flexibility to ensure project success.

What is the difference between Data Science Analyst vs Data Analyst?

AspectData Science AnalystData Analyst
Required SkillsStatistical analysis, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work EnvironmentData-driven projects, predictive modeling, advanced analyticsReporting, data cleaning, descriptive analysis
Common IndustriesTech, finance, healthcare, e-commerce

Data Science Analysts focus on predictive modeling and advanced analytics using programming and machine learning, while Data Analysts primarily handle data cleaning, reporting, and descriptive analysis. Both roles are essential in data-driven organizations, but Data Science Analysts typically require stronger technical skills and work on more complex projects.

Data Science Analyst jobs near you
Infographic showing various Data Science Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $83,413 per year, or $40.1 per hour.

Data Scientist

WI • On-site

Alterman, Inc.
Construction • 501 - 1,000 employees
Learn more about Alterman, Inc.external

Other

Posted 13 days ago

Key responsibilities

  • Designs, develops, and deploys machine learning models within data pipelines and workflows.

  • Visualizes data and communicates findings to stakeholders to support strategic decision-making.

  • Collaborates with teams to collect, clean, and prepare data for analysis and modeling.

Alterman rating

8.7

Company rating: 8.7 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

Job description

The Data Scientist is responsible for leveraging advanced analytics, statistical models, and machine learning techniques to uncover insights from structured and unstructured data. This role supports decision-making across departments by developing predictive models, visualizations, and data-driven strategies that enhance business performance and operational efficiency. This role serves as a critical link between data and decision-making, collaborating with business leaders, operational teams, and technologists to uncover and communicate meaningful insights.

Essential Functions:1.Data Science & Modeling: 60%
  • Designs and executes data experiments to validate hypotheses and measure model performance.
  • Designs, develops, and deploys machine learning (ML) models within Snowflake-based data pipelines and workflows.
  • Conducts large-scale statistical analyses and controlled experiments to uncover actionable insights.
  • Explores and analyzes structured and unstructured data to detect trends, anomalies, and opportunities.
  • Turns broad or unclear problems into actionable projects by defining success metrics and setting clear goals for analysis.
  • Collects, cleans, and prepares data for modeling and analysis to ensure data integrity and quality.
  • Partners with Data Engineers to integrate and deploy analytical models and products into production environments.
  • Translates high-priority business challenges into analytical strategies and data models that drive measurable return on investment (ROI).
2. Stakeholder Engagement & Innovation: 25%
  • Visualizes complex data and crafts compelling, audience-tailored narratives for stakeholders at all levels—from frontline teams to executive leadership.
  • Communicates findings in a clear, actionable manner that informs strategic decisions across the business.
  • Stays informed on emerging AI/ML advancements and evaluates their potential to enhance business outcomes.
3. Performs other duties as assigned. 15%Education and Experience:
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science or related field.
  • 4+ years of experience in hands-on data science, including modeling, visualization, and end-to-end project ownership.
  • Experience with data in construction, field services, or operations-heavy environments preferred.
Skills/Abilities:
  • Strong problem-solving mindset with the ability to navigate ambiguity, rapidly prototype solutions, and iterate based on feedback.
  • Able to communicate technical concepts to non-technical stakeholders in a clear, compelling, and engaging manner.
  • Demonstrated ability to collaborate effectively within agile, cross-functional teams.
  • Proficient in Python, SQL (Snowflake preferred), and data wrangling in large-scale environments.
  • Familiarity with cloud data warehouses and MLOps best practices (bonus if you've used Airflow, or similar tools).
  • Skilled in ML techniques (e.g., regression, classification, clustering, and ensemble methods).
  • Previous exposure to deep learning, Natural Processing Language (NLP), and computer vision is a plus.
Physical Demands:
  • Prolonged periods of sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.
Equal Opportunity Employer

This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

#J-18808-Ljbffr

What Alterman employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply