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Data Science Engineer Jobs in Wisconsin (NOW HIRING)

Alterman, Inc.

Data Science & Modeling: 60% * Designs and executes data experiments to validate hypotheses and ... Partners with Data Engineers to integrate and deploy analytical models and products into production ...

Lake Michigan Credit Union

WI · On-site

$108K - $130K/yr

This role manages Senior Data Engineer resources, establishes data engineering standards, oversees ... Bachelor's degree in computer science, information systems, information technology, data management ...

Tiger Analytics

WI · On-site

Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming * Work on the latest applications of data science to solve business problems in the Supply ...

Valid8 Financial, Inc.

Data Engineer

Appleton, WI · On-site

$109K - $130K/yr

Support ad hoc data science and machine learning workflows within Dataiku. What You Bring to the Team * 4+ years of experience in a data engineering or related software engineering role.

Merkle Science

WI · On-site

What we're looking for * 4+ years building data science or data engineering systems that actually shipped (not just notebooks). * Strong Python and SQL; comfortable with large datasets and the ...

Polco

Data Scientist

Madison, WI · On-site

Partner with our Engineering Team to automate data workflows (ingest, cleaning, analytics ... data science, statistics, economics, or similar). A graduate degree will be helpful, but not ...

SCALIS

WI · On-site

$111K - $134K/yr

Bachelor's degree in computer science, Engineering, Data Science, or a related technical discipline OR equivalent combination of education and relevant experience. * Demonstrated experience designing ...

Polco

Data Scientist

Madison, WI · On-site

Partner with our Engineering Team to automate data workflows (ingest, cleaning, analytics ... data science, statistics, economics, or similar). A graduate degree will be helpful, but not ...

Tiger Analytics

Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming * Work on the latest applications of data science to solve business problems in the Supply ...

AgSource

Dairy Data Scientist

Watertown, WI · On-site +1

This role sits at the intersection of dairy science, research, analytics, and technology. You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software ...

Urus

Dairy Data Scientist

Madison, WI · On-site

This role sits at the intersection of dairy science, research, analytics, and technology. You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software ...

AgSource

Dairy Data Scientist

Madison, WI · On-site

This role sits at the intersection of dairy science, research, analytics, and technology. You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software ...

Farm Systems

Dairy Data Scientist

Madison, WI · On-site

This role sits at the intersection of dairy science, research, analytics, and technology. You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software ...

Urus Group LP

Dairy Data Scientist

Watertown, WI · On-site +1

This role sits at the intersection of dairy science, research, analytics, and technology. You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software ...

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Showing results 41-60

All JobsData Science Engineer JobsData Science Engineer Jobs in Wisconsin

Data Science Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do data science engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data science engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are popular job titles related to Data Science Engineer jobs in Wisconsin?

For Data Science Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in Wisconsin look for?

The top searched job categories for Data Science Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Science Engineer jobs?

Cities in Wisconsin with the most Data Science Engineer job openings:

Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Data Scientist

On-site

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

Other

Posted 14 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.

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