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Data Science Engineer Jobs in Minnesota (NOW HIRING)

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

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Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

$35/hr

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

New

Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics ...

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Data Engineer III

Plymouth, MN · On-site

$119K - $143K/yr

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field * 5+ years (or 3+ years with a masters) of professional experience in analytics ...

Data Engineer III

Minneapolis, MN · On-site

$90K - $153K/yr

Bachelor's degree in Data Analytics, Data Science, Computer Science, Applied Mathematics, Engineering, or related field * 5+ years (or 3+ years with a masters) of professional experience in analytics ...

Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics, Data Science, or another quantitative field, or equivalent work experience * Four to six years of relevant experience ...

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Data Scientist

Minneapolis, MN · On-site

$105 - $124/hr

Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics, Data Science, or another quantitative field, or equivalent work experience. * Four to six years of relevant experience.

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Data Scientist

Virginia, MN · On-site

$89 - $202/hr

... AI/ML engineers for model deployment, and participate in data governance activities. This person will develop and implement data science workflows and methodologies, contribute to research ...

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... Engineer. Please find the role details below; Key Responsibilities * Design, develop ... Work closely with business stakeholders, data analysts, and data scientists to translate business ...

Showing results 41-60

Data Science Engineer information

See Minnesota salary details

$43.6K

$127K

$173.8K

How much do data science engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science engineer in Minnesota is $127,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $134,700.00 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 Minnesota?

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

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

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

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

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

Infographic showing various Data Science Engineer job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $127,046 per year, or $61.1 per hour.

$35/hr

Internship

Posted 2 days ago

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

134th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who we want

Challengers. People who seek out the hard projects and work to find just the right solutions. Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward. Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts. Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives. Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships. Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

  • Develop, analyze and model operational, economic, management, accounting and other organizational data. Recommends solutions to new and complex problems, develops innovative strategies, quantifies the competitive performance of the organization's operations and/or markets, evaluates the potential impact of changes and reports on economic forecasts that affect the industry. This position requires knowledge that is acquired through experience, specialized education or training. The role has clearly defined procedures and tasks as well as defined guidelines to aid in decision making. Technical knowledge required is limited to the tasks performed in own discipline area and is considered basic. The tasks are generally routine and manual. The job is expected to follow detailed and defined rules / instructions and to make simple judgement in straightforward situations. Typically requires selecting between solutions already established. This job typically requires no experience.
  • The data science intern will help drive proactive and predictive insights that inform strategic decision-making across the Commercial Excellence organization within the Trauma & Extremities division. The intern will achieve this through hands-on data exploration, advanced analytics, and collaboration with cross-functional teams to identify trends, forecast business outcomes, and support initiatives across Inventory, PLCM, and Customer Service. By leveraging tools like Python, SQL, and data visualization platforms, the intern will contribute to the development of scalable solutions that enhance business impact and support data-driven strategies.

Majors Targeted: Business Analytics, Data Science, Information Technology (IT), Information Systems (MIS), Statistics, Computer Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics, Finance

What You Need

  • Currently pursuing a Bachelor’s or Master’s degree in a related field; must remain enrolled in a degree-seeking program after the internship.
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require sponsorship now or in the future.
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment.

Posted Date: 09/01/2026 This role will be posted for a minimum of 3 days.

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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