1

Data Science Degree Jobs in Minnesota (NOW HIRING)

Data Scientist

Virginia, MN · On-site

$95 - $130/hr

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences. * Proficiency in Python, including ...

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

Qualifications A Bachelor's degree in a relevant field such as engineering, mathematics, computer ... experience in data science will be considered. The preferred candidate will possess a Master ...

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 ...

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

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

Bachelor's degree in STEM or bachelor's degree with an equivalent combination of relevant education ... Master-level data science industry knowledge and knowledge of the insurance marketplace. What would ...

Senior Data Science Analyst - DLMP

Rochester, MN · On-site

$78K - $99K/yr

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Qualifications A master's degree in engineering, computer science, mathematics, health science, or ...

Bachelor's degree in computer science, data science, statistics, applied mathematics or related field Years of Experience * 5 years of relevant experience in applying data science techniques to ...

New

Data Scientist

Virginia, MN · On-site

$90 - $130/hr

Bachelor's degree Hard Skills * data exploration * data cleaning * data analysis * data visualization * data science * data mining * Python * R * SQL * statistical analysis Soft Skills * client ...

Data Scientist

Saint Paul, MN · On-site

$105K - $126K/yr

Data Scientist * Full Time * Onsite/Hybrid Preferred The Data Scientist is responsible for ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ...

Data Scientist

Saint Paul, MN · On-site

$106 - $127/hr

Data Scientist Full Time Onsite/Hybrid Preferred The Data Scientist is responsible for designing ... Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, or related ...

Data Scientist

Virginia, MN · On-site

$85 - $110/hr

## Data ScientistApplylocations: Dahlgren, VAtime type: Full timeposted on: Posted Todayjob ... Bachelor's degree or higher in Mathematics, Statistics, Computer Science, or a related discipline ...

New

Senior Data Scientist

Virginia, MN · On-site

$160 - $220/hr

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field. Master's or PhD preferred. * 5+ years of experience building and deploying production ML ...

next page

Showing results 1-20

Data Science Degree information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do data science degree jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data science degree in Minnesota is $120,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $133,200.00 per year, depending on experience, location, and employer.

What is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. Graduates can work in industries like technology, finance, healthcare, and marketing, utilizing skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, or SQL, and may involve working in various industries including technology, finance, healthcare, and marketing.

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

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

Infographic showing various Data Science Degree job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $120,211 per year, or $57.8 per hour.

Data Science

Cloud think technologies LLC

Minneapolis, MN • On-site

Contractor

Re-posted 19 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