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Data Science Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand * Collaborate with other engineers to ...

Data Engineer Principal

Bloomington, MN ยท On-site

$39.89 - $55.55/hr

Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand * Collaborate with other engineers to ...

Data Engineer Principal

Bloomington, MN

$115K - $138K/yr

Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand * Collaborate with other engineers to ...

Data Scientist

Minneapolis, MN ยท On-site

$100K - $150K/yr

... engineering, model construction, and validation โ€ข Build and validate predictive models using ... Qualifications Required: โ€ข Bachelor's degree in data science, statistics, mathematics, computer ...

Product Manager (Data Science)

Medina, MN ยท On-site +1

$140K - $160K/yr

Collaborate with engineering, architecture, and governance teams to support data quality, metadata consistency, security, and compliance. * Contribute to the evolution and scalability of the ...

Data Engineer: IV (Lead)

Minneapolis, MN ยท On-site

$119K - $143K/yr

Bachelor's degree in Computer Science, Data Science, IT, MIS, Engineering, Mathematics, or a related field. 3+ years in data engineering, analytics engineering, BI engineering, software engineering ...

Product Manager (Data Science)

Medina, MN ยท On-site

$140K - $160K/yr

Collaborate with engineering, architecture, and governance teams to support data quality, metadata consistency, security, and compliance. * Contribute to the evolution and scalability of the ...

Work closely with Data Science, BI, Market Research, and the Analytics Product Owner to turn ... Engineering depth. Deep proficiency in SQL and Python. Strong working knowledge of cloud data ...

Work closely with Data Science, BI, Market Research, and the Analytics Product Owner to turn ... Engineering depth. Deep proficiency in SQL and Python. Strong working knowledge of cloud data ...

Data Engineer Senior

Bloomington, MN ยท On-site

$51.85 - $77.77/hr

Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand * Collaborate with other developers to ...

Data Engineer Senior

Bloomington, MN ยท On-site

$115K - $138K/yr

Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand * Collaborate with other developers to ...

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

Work with stakeholders, data scientists and analysts to frame problems, clean and integrate data, and determine the best way to provision that data on demand * Collaborate with other developers to ...

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Showing results 1-20

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 Jul 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 engineers make 500,000?

Senior data science engineers, machine learning engineers, and software engineers with extensive experience and advanced skills in areas like AI, big data, and cloud computing can earn salaries of $500,000 or more, especially in high-cost-of-living regions or within top tech companies. Achieving this level often requires advanced degrees, certifications, and a strong track record of impactful projects.

Is 30 too late for data science?

Data Science Engineers can enter the field at any age, including 30, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

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 job?

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 ensure data quality and accessibility.

Is data science high paying?

Data science engineers typically earn high salaries due to their specialized skills in statistical analysis, programming, and machine learning. Salaries vary by experience, location, and industry, but data science roles are generally considered well-compensated within the tech field.
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 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 June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% 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.

Assistant Professor of Statistics and Data Science

St Olaf College

Northfield, MN โ€ข On-site

$77K - $82K/yr

Full-time

Retirement, PTO

Posted 25 days ago


Job description


The Department of Mathematics, Statistics, and Computer Science (MSCS) at St. Olaf College invites applications for a full-time, tenure track position in Statistics and Data Science at the Assistant Professor level, to begin August 2027. We are looking for candidates who can contribute broadly to our growing statistics and data science program through teaching, research, and supervision of undergraduate research.
The normal teaching load is five courses per year. Teaching responsibilities include courses at all levels of a curriculum, from introductory courses to upper-level courses in one's field of expertise. Other important aspects of the position include the promotion of community-building and inclusivity within the MSCS Department and the College, student advising, and other service work in the department and across the college.
Salary: $77,200 - $82,000
Qualifications
Candidates must have or be completing a PhD in Statistics, Biostatistics, Data Science, or a closely related field such as Computer Science, Engineering, Applied Mathematics, Bioinformatics, or Epidemiology with a demonstrated interest and background in Statistics and Data Science. While we will consider all areas of specialization, candidates with interest/experience in Data Science who are poised to expand our course offerings at the 300-level are particularly encouraged to apply
About the Department
Our Mathematics, Statistics, and Computer Science (MSCS) Department includes thriving programs in mathematics, statistics and data science, computer science, mathematical biology, and mathematics education. While maintaining disciplinary rigor, we promote interactions and synergy among MSCS programs and across the college. The entire department works together to provide excellent learning environments for our students. We celebrate and share multiple pedagogical approaches, we support each other in wisely stewarding departmental resources, and we meet regularly to make decisions together. Furthermore, our department is committed to the work of Diversity, Equity, and Inclusion, and we seek a tenure-track colleague who will contribute to inclusive excellence, engage undergraduates in innovative research, and teach a variety of courses across our Statistics and Data Science curriculum.
Possibilities abound for collaborative research; projects involving undergraduates are supported by St. Olaf's Collaborative Undergraduate Research and Inquiry program. Additionally, our Center for Interdisciplinary Research is a nationally recognized program that pairs MSCS faculty and students with faculty and students from other disciplines to share in the excitement and challenge of working across the traditional academic boundaries to collaborate on research. The St. Olaf mathematics program is among the largest and most successful at American undergraduate institutions, annually graduating about 75 mathematics majors. The statistics and data science program is also vibrant; as a new major, its inaugural class (2028) is slated to graduate over 50 students. The computer science program is growing quickly, doubling the number of majors (from the 20's to the 40's) in just a few years. St. Olaf is among the nation's top undergraduate origins of PhDs in the mathematical sciences. For more information about the department, visit wp.stolaf.edu/mscs.
We strive to be a campus of welcome where students, faculty, and staff thrive by bringing their full humanity-gender identity, sexuality, race, ethnicity, national origin, socioeconomic class, disability, religion, spirituality, and age-to St. Olaf each day. Our goal is to generate conversations and processes that over time create greater clarity, transparency, trust, cooperation, consensus, respect, and measurable outcomes. Practices that support this goal include listening, cultivating a growth mindset, respecting those with different views, being informed by data, and understanding that the work is ongoing, collaborative, organic, and ever evolving. We encourage applicants to familiarize themselves with our Community and Belonging website to learn more about our commitment and to identify how you might contribute to these efforts.
How to Apply
Throughout your materials, include how you would contribute to the development of a diverse and inclusive learning community at our college through your teaching, research, and/or service. A complete application includes the following:
References: Provide contact information for three professional references who can speak to your abilities in teaching and scholarship. Letters will be solicited from references by the search committee for candidates who advance to the interview stage.
Supporting Documents and URLS:
  1. Cover letter (no more than 3 pages) that provides an executive summary of your:
    1. specific interest in joining the MSCS Department at St. Olaf College;
    2. training and experience in Statistics/Data Science, particularly if you do not have a PhD in Statistics, Biostatistics, or Data Science;
    3. experience in and vision for diversity, equity, and inclusion initiative in teaching, scholarship, service and/or community engagement;
    4. experience in and vision for teaching undergraduate students; include experience using inclusive pedagogy, active and innovative teaching strategies, and assessment of learning outcomes as applicable; and
    5. contributions to the scholarly field and future research goals.
  2. Graduate transcripts (unofficial)
  3. Teaching Statement: Statement of your teaching philosophy, including a discussion of pedagogical techniques used to create an active, inclusive classroom
  4. Professional Statement: Statement of your research and interests, including the potential for engagement in research with undergraduates, that is written for a general statistics and data science audience

Review of applications will begin on October 1, 2026, and will continue until the position is filled. Applications received by that date will receive fullest consideration. Finalist interviews are expected in November. Questions about the position, department, or College may be directed to Prof. Katie Ziegler-Graham, Search Committee Chair, at tt2027sds@stolaf.edu.
About Us
Join Our Community - Work at St. Olaf!
Founded in 1874, St. Olaf College is a residential, coeducational liberal arts college with approximately 3,000 students and 800 faculty and staff. The college is located on a picturesque 300-acre campus in Northfield, Minnesota, a vibrant, historic river town of 20,000 located 45 minutes south of culturally rich and diverse Minneapolis and St. Paul.
The college offers an academically rigorous, nationally ranked liberal arts education that fosters the development of the whole person in mind, body, and spirit and emphasizes learning in an inclusive and globally engaged community. We encourage applications from candidates committed to multicultural understanding and the enrichment of our diverse community.
The college offers a comprehensive benefits package, including a 9% retirement match, contributions to eligible employees' health savings accounts, a significant tuition discount (up to a 90% reduction) at ACM, GLCA, and ELCA colleges and universities for employees' children, and generous paid time off. For a full review of the college's benefits, please see the summary of our benefits here: https://wp.stolaf.edu/hr/benefits/
To provide a safe and secure educational environment, St. Olaf College verifies the accuracy of all credentials presented by applicants and conducts a criminal background check on every new hire.
A summary of the Flexible Work Policy for staff: https://wp.stolaf.edu/hr/flexible-work-policy/
A link to our Community and Belonging page: https://wp.stolaf.edu/equity-inclusion/
A virtual campus tour: https://www.stolaf.edu/multimedia/play/?p=483
An overview of Northfield: https://wp.stolaf.edu/admissions/visit/northfield/
An overview of the Twin Cities: https://wp.stolaf.edu/admissions/visit/twincities/
For Staff Application Assistance:
hrstaff@stolaf.edu
507-786-3068
For Faculty Application Assistance:
facultysearch@stolaf.edu
507-786-3356
Nondiscrimination Policy
St. Olaf College does not discriminate on the basis of sex, race, color, creed, national origin, gender identity, gender expression, sexual orientation, age, religion, disability, marital status, veteran status, or status with regard to public assistance. St. Olaf College prohibits discrimination and harassment based upon these and any other legally protected status in any education program or activity that it operates, including in admissions and employment.
Inquiries about this nondiscrimination policy may be referred to St. Olaf College's Director of Equal Opportunity, the U.S. Department of Education's Office for Civil Rights, or both. St. Olaf's Director of Equal Opportunity (who serves as the College's Title IX, Title VI, and Section 504 Coordinator) is Pamela McDowell, Tomson Hall, mcdowell@stolaf.edu, (507) 786-3465.