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Data Science Engineer Jobs in Madison, WI (NOW HIRING)

Bachelor's degree in computer science, Software Engineering, Data Science, Engineering Physics, Mechanical Engineering, Mechatronics, or a closely related technical field. * At least 4years of ...

Sr. Data Engineer

Madison, WI

$115K - $138K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as ...

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Bachelor's Degree in Data Science, Computer Science, Information Systems, Mathematics, or ... Engineering; or High School Diploma/General Education Degree and 4 years of relevant experience as ...

This position will work with CHDR scientists and Data Operations peers to optimize current processes related to a relational database used for scholarly research. The Research Data Engineer will join ...

New

Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types * Streamline and standardize ...

Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types * Streamline and standardize ...

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 ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Artificial Intelligence Engineer III

Madison, WI · On-site

$58 - $77.75/hr

This role applies advanced software, data science, machine learning, and LLM engineering expertise to build AI powered applications, model driven solutions, and intelligently automated workflows. The ...

Showing results 21-40

Data Science Engineer information

See Madison, WI salary details

$44.8K

$130.7K

$178.9K

How much do data science engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science engineer in Madison, WI is $130,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,500.00 per year, depending on experience, location, and employer.

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 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 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 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 the most commonly searched types of Data Science Engineer jobs in Madison, WI? The most popular types of Data Science Engineer jobs in Madison, WI are:
What are popular job titles related to Data Science Engineer jobs in Madison, WI? For Data Science Engineer jobs in Madison, WI, the most frequently searched job titles are:
What job categories do people searching Data Science Engineer jobs in Madison, WI look for? The top searched job categories for Data Science Engineer jobs in Madison, WI are:
Infographic showing various Data Science Engineer job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,706 per year, or $62.8 per hour.

Full-time

Posted 8 days ago


Job description

 
ATTENTION MILITARY AFFILIATED JOB SEEKERS - Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is On-Site at the location detailed in the job post.
 
Senior Data Scientist
What you will do
Let's do this! Let's change the world!
In this vital role you will be responsible for developing, maintaining, and deploying first principles and/or machine learning models for biopharmaceutical processes, including but not limited to, cell culture, biologics formulation development, and fill/finish processes. You will be responsible for model design, selection of underlying technologies and infrastructure, and ensuring successful application of models in Process Development.
The ideal candidate will have a strong background in chemical engineering or mechanical engineering as well as expertise in data science to tackle challenging crossfunctional projects. Fundamental understanding of bioprocesses as well as first principles (i.e., transport phenomena, fluid mechanics, reaction kinetics) is preferred. The candidate will be part of cross-functional project teams with frequent interactions with Amgen's SMEs and stakeholders as well as document and communicate the underlying technical basis of the models for use by engineers and scientists.
Design, develop, and deploy first principles, machine learning, and hybrid models to optimize biopharmaceutical processes.
Integrate modeling software with connectivity to real-time equipment data to enable digital twins for improved process performance and understanding.
Build and maintain robust data pipelines and agentic workflows to streamline the effort required to generate impact-level insights.
Collaborate with cross-functional teams to translate scientific challenges into data-driven solutions and ensure seamless model integration into process development workflows.
Champion best practices in software development, including version control, testing, and continuous integration to ensure model reliability, scalability, and reproducibility.