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Data Science Engineer Jobs in Minnesota (NOW HIRING)

PamTen Inc

Data Scientist

Wayzata, MN · On-site

Duration: 6+ Months Required Qualifications · Bachelor's degree or equivalent experience in Data Science, Statistics, Computer Science, Engineering, Applied Mathematics, or a related quantitative ...

Varsity Tutors

Data Science Tutor

Minneapolis, MN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Saint Paul, MN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

Varsity Tutors

Data Science Tutor

Edina, MN · Remote

$18 - $40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery: Deep knowledge of statistical ... programming, hypothesis testing, and communication of data-driven insights. Ability to explain ...

General Mills

Senior Data Scientist

Minneapolis, MN · On-site +1

$110K - $184K/yr

Partner with data science leaders, AI engineering teams, and business stakeholders to identify, prioritize, and deliver high-impact AI and machine learning use cases * Design, prototype, and scale ...

Mayo Clinic

Senior Data Science Analyst

Rochester, MN · On-site

$87K - $110K/yr

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Qualifications A Bachelor's degree in a relevant field such as engineering, mathematics, computer ...

New

Ycotek

Data Engineer

Minneapolis, MN · On-site

$90 - $140/hr

Work closely with business stakeholders, data analysts, and data scientists to translate business ... Mentor junior engineers and foster a culture of collaboration and technical excellence within the ...

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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:

Data Science Engineer jobs near you
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.

Data Science

Cloud think technologies LLC

Minneapolis, MN • On-site

Contractor

Re-posted 4 days ago

Job description

Data Science: We are interested in individuals who are adept at tackling undefined business problems using both traditional machine learning approaches and the latest generative AI techniques. Ideal candidates should have robust analytical skills and be proficient in Python coding. Moreover, they should be capable of working both independently and collaboratively with the rest of the team. Additionally, experience in document processing with various forms is highly preferred. Effective communication skills are also essential for this role.

AI Engineering:

Primary Responsibilities:

o Design and implement the systems to power modern web applications that enables users to derive information from patient data in a scalable, reliable, and cost-effective manner

o Ensure the delivery of high-quality, maintainable, and efficient code

o Be an advocate for product quality, including agile SCRUM methodologies, unit tests, code reviews and engineering specifications.

Required Qualifications

• BS Degree in Computer Science or equivalent

• 6+ years of hands-on software engineering design and programming experience

• Hands on experience in delivering at least two modern web applications, from design to implementation, test and release.

• Master the fundamentals of technologies such as HTTP protocols, REST API, Security Fundamentals: Encryption, Hashing, Web Security Development, Authentication and Authorization

• 3+ years hands on experience with Python programming

• Basic understanding of front-end development with React

• Understand performance issues and how to optimize database queries and caching methodologies

• Ability to debug complex software and system issues

• Improve team engineering excellence by leading clear documentation, troubleshooting, logging and applying engineering best practices.

• Quality mindset with unit and integration tests

• Extensive experience in Agile and Scrum. You know how to work within teams against a backlog, and how to enable true CI/CD. You understand the role of a Software Engineer in an Agile environment – where clarifying the solution approach, possessing deep understanding of product requirements and always watching for edge cases are paramount

• Knowledge spans the full stack, from deployment ops and database technologies through to front-end frameworks. Ideally, you have a deep understanding of both OOP and Functional stacks, Relational and NoSQL Data Stores, Streaming Applications and system development/maintenance in accloud platform such as AWS, gcp or Azure. (AWS a bonus!)

Nice-to-have Skills:

• Familiarity with OpenAPI / Swagger specifications

• Deployment experience: GitHub actions, Terraform, Docker, etc.

• AWS experience such as RDS, ALB, Redis Cache, Secret Manager, EC2, IAM