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Data Scientist Jobs in Minnesota (NOW HIRING)

RELX

Data Scientist

Minneapolis, MN · On-site

The Data Scientist role involves leading predictive modeling and statistical analysis across various industries to deliver impactful insights and scalable solutions. Responsibilities : • Build and ...

J5 Consulting

Data Scientist

Virginia, MN · On-site

$120 - $160/hr

Introduction We are seeking a skilled Data Scientist to support mission-critical intelligence initiatives by analyzing large-scale structured and unstructured data, developing data models, and ...

Boston Scientific

Data Scientist I

Arden Hills, MN · Hybrid

Data Scientist 1 We will consider qualified applicants of all ages who are starting (or restarting) their careers At Boston Scientific, we value collaboration and synergy. This role follows a hybrid ...

Boston Scientific

Data Scientist I

Arden Hills, MN · On-site

$60 - $114/hr

Data Scientist 1We will consider qualified applicants of all ages who are starting (or restarting) their careersAt Boston Scientific, we value collaboration and synergy. This role follows a hybrid ...

Boston Scientific

Data Scientist I

Arden Hills, MN · Hybrid

Data Scientist 1 We will consider qualified applicants of all ages who are starting (or restarting) their careers At Boston Scientific, we value collaboration and synergy. This role follows a hybrid ...

RELX

Data Scientist

Minneapolis, MN · On-site

$77K - $128K/yr

About the Role: We're seeking a Data Scientist to lead predictive modeling and statistical analysis across domains such as risk and fraud. The ideal candidate will bring strong expertise in data ...

Vantive

Data Scientist - Sciences

Oakdale, MN · On-site

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design experiments and analyze data optimizing experimental efficiency and minimize the risks of accuracy ...

Vantive

Data Scientist - Sciences

Oakdale, MN · On-site

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design experiments and analyze data optimizing experimental efficiency and minimize the risks of accuracy ...

On-Demand Group

Sr. Data Scientist

Minneapolis, MN · On-site

About the Role We are seeking an experienced Senior Data Scientist to join a collaborative, fast-paced data science team focused on delivering measurable business value through machine learning. This ...

General Mills

Senior Data Scientist

Minneapolis, MN · On-site +1

$110K - $184K/yr

We are hiring a Senior Data Scientist to help shape the next generation of advanced analytics and AI solutions across the enterprise. In this role, you will partner with business stakeholders ...

System One

Sr. Data Scientist

Minneapolis, MN · On-site

Data Scientist Location: Minneapolis, MN Job Summary: System One is seeking a Data Scientist with 7+ years of hands-on experience to design, build, and deploy production-grade machine learning models.

Strategic Education

Data Scientist II

Minneapolis, MN · On-site

The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data-driven solutions that improve business performance and decision-making. This role builds and ...

MISO Default Brand

Senior Data Scientist

Eagan, MN · On-site

$119 - $144/hr

In one year as our Senior Data Scientist - Market Evaluation, you will know you were successful if you: * Use statistical, economic, and advanced data analysis to uncover meaningful patterns in ...

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All JobsData Scientist JobsData Scientist Jobs in Minnesota

Data Scientist information

See Minnesota salary details

$36.7K

$120.2K

$192.5K

How much do data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data scientist 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 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 statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.
More about Data Scientist jobs

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

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Data Scientist jobs near you
Infographic showing various Data Scientist 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 $120,211 per year, or $57.8 per hour.

Data Scientist

RELX

Minneapolis, MN • On-site

Full-time

Re-posted 22 days ago

Job description

Job Summary:
LexisNexis Risk Solutions is a key partner in risk assessment, offering solutions to enhance revenue and operational efficiency. The Data Scientist role involves leading predictive modeling and statistical analysis across various industries to deliver impactful insights and scalable solutions.
Responsibilities:
• Build and deploy machine learning models using R, Python, SAS, and SQL.
• Develop cloud-based analytic solutions and integrate them into enterprise systems.
• Analyze large datasets to uncover insights and support product development.
• Collaborate with stakeholders to validate scoring code and ensure model accuracy.
• Document methodologies and follow best practices in statistical modeling.
Qualifications:
Required:
• Computer Science, Statistics, Mathematics, or related field
• Experience in predictive modeling
• Proficiency in SAS, R, Python, and Big Data technologies
• Strong communication skills and ability to work cross-functionally
Preferred:
• Fraud analytics experience is a plus.
Company:
RELX is a provider of information-based analytics for professional and business customs. Founded in 1993, the company is headquartered in London, GBR, with a team of 1001-5000 employees. The company is currently Late Stage.

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