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Data Science Associate Jobs in Minnesota (NOW HIRING)

Ecolab

Sr Data Scientist

Saint Paul, MN · On-site

$118K - $177K/yr

Drive experimentation and delivery of digital AI / data science product innovations aligned to the ... With annual sales of $13 billion and more than 45,000 associates, Ecolab delivers comprehensive ...

Ecolab

Sr Data Scientist

Saint Paul, MN

$118K - $177K/yr

Drive experimentation and delivery of digital AI / data science product innovations aligned to the ... With annual sales of $13 billion and more than 45,000 associates, Ecolab delivers comprehensive ...

Best Buy

Associate Data Scientist, Marketing

Richfield, MN · Hybrid

$61K - $61K/yr

As an Associate Data Scientist, you will help drive smarter marketing decisions by applying ... Bachelor's degree in a highly quantitative field (e.g., Computer Science, Engineering, Physics ...

Oncodea

Molecular Diagnostics Associate

Saint Paul, MN · On-site

Oncodea is seeking a passionate and driven Molecular Diagnostic Associate to join our team and help ... Perform introductory bioinformatics and data-science tasks: data inspection, QC dashboards, and ...

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All JobsData Science Associate JobsData Science Associate Jobs in Minnesota

Data Science Associate information

See Minnesota salary details

$56.3K

$66.6K

$126.3K

How much do data science associate jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data science associate in Minnesota is $66,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $58,300.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Data Science Associates and other data science roles do not have an age limit; individuals can enter the field at any age. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, which can be learned through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities based on their experience and skill development.

What can you do with an associate in data science?

A Data Science Associate can analyze data, develop models, and generate insights to support decision-making within organizations. They often work with tools like Python, R, and SQL, and may assist in data cleaning, visualization, and reporting. This role typically requires foundational knowledge of statistics and machine learning techniques.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

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

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What is the work of an associate data scientist?

An associate data scientist analyzes data to identify trends and patterns, develops models using programming languages like Python or R, and supports data-driven decision-making. They often work under supervision to clean data, build algorithms, and communicate findings to teams.

Which is better, DS or CS?

For a Data Science Associate role, both Data Science (DS) and Computer Science (CS) provide valuable skills; DS focuses on data analysis, modeling, and visualization, while CS emphasizes programming, algorithms, and software development. The choice depends on the specific job requirements and your career goals, but proficiency in programming languages like Python or R and understanding of data tools are essential in both fields.
What are the most commonly searched types of Data Science jobs in Minnesota? The most popular types of Data Science jobs in Minnesota are:
What are popular job titles related to Data Science Associate jobs in Minnesota? For Data Science Associate jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Science Associate jobs in Minnesota look for? The top searched job categories for Data Science Associate jobs in Minnesota are:
What cities in Minnesota are hiring for Data Science Associate jobs? Cities in Minnesota with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Minnesota as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,638 per year, or $32 per hour.

Manufacturing Science Associate

Microbiologics, Inc.

Saint Cloud, MN • On-site

$56K - $70K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 28 days ago

Microbiologics rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

53rd of 103 rated laboratories

Job description

Description
We are looking to add a Manufacturing Science Associate to our R&D Team in St. Cloud, MN. In this role the Manufacturing Science Associate will be supporting the development, validation, and continuous improvement of manufacturing processes throughout the product lifecycle. This role bridges research and production-transforming innovative product designs into scalable, high-quality manufacturing processes. The ideal candidate will apply scientific and technical expertise to drive efficiency, ensure compliance, and uphold rigorous documentation and integrity standards.
Working closely with cross-functional teams, this role transfers new products into production, optimizes existing processes through data-driven insights, and upholds the highest standards of documentation and regulatory compliance. The ideal candidate thrives in a dynamic, hands-on environment and brings both scientific expertise and a passion for process excellence.
What can I expect in this role?
In this position, you will work in our St.Cloud, MN location Monday-Friday from 8-4:30pm.
Some key duties in this role include:
  • Support the transfer of new product designs into scalable, repeatable manufacturing processes while mitigating potential risks.
  • Develop and maintain clear work instructions, training materials, and documentation to ensure operational readiness.
  • Plan, execute, and document process validations and research activities, applying appropriate statistical analysis.
  • Conduct biomaterial testing and related laboratory work with accuracy, integrity, and adherence to protocols.
  • Compile and analyze data to provide insights and recommendations that drive process optimization and product performance.
  • Collaborate with cross-functional teams to align objectives, timelines, and successful project execution.
  • Provide production and technical support for new, transferred, or customer-specific products requiring specialized capabilities.
  • Apply scientific knowledge and best practices to solve technical challenges and support continuous improvement.
  • Maintain compliance with applicable regulations, company policies, and industry standards.
  • Perform general maintenance per schedule when applicable and maintain a clean, organized work environment.
  • Observe all company policies, rules, and safety practices.

What makes you a good fit?
Our goal is finding the right individual for our team - we firmly believe that the right person is someone to invest in and invite to join our family.
Here is what we are looking for:
  • Bachelor's degree in a relevant field (e.g., Biology, Microbiology, Molecular Biology, or related discipline) required.
  • Minimum of 2 years of practical microbiology or molecular laboratory experience required.
  • 1-3 years of prior experience in manufacturing, process engineering, or product development within a regulated industry (medical device, pharmaceutical, or biotech) required.
  • Technical understanding and hands-on experience with molecular biology techniques (e.g., PCR) required.
  • Strong technical writing skills with experience drafting procedures and technical reports preferred.
  • Experience with process validation and technology transfer in a regulated manufacturing environment preferred.
  • The ability to pass a background check and drug screening.

Key Competencies
  • Analytical and data-driven approach to problem-solving.
  • Strong communication and documentation skills.
  • Collaborative mindset and ability to work cross-functionally.
  • Commitment to quality, accuracy, and regulatory compliance.
  • Organized, proactive, and adaptable in a fast-paced R&D environment.

Who is Microbiologics?
Microbiologics is one of the fastest growing international biotechnology companies in the nation. We are the world's leading experts and go-to collaborators in biological products and services, focused on protecting the health and safety of people around the world. For over 50 years, we have been partnering with healthcare and life science laboratories, manufacturers, and suppliers across the globe to co-create and provide biological control materials, assay services and consulting for microbiology, molecular diagnostics, and virology. Headquartered in Saint Cloud, Minnesota, we have additional facilities in California, Kentucky, Michigan, and Rostock, Germany.
What can we offer you?
Glad you asked!
Our award-winning culture is friendly, collaborative, and supportive, providing endless opportunities for individuals to learn and grow, both personally and professionally. At Microbiologics, we believe that "great vision without great people is irrelevant." That's why we are always looking for great people to join our dynamic, innovative company as we provide the highest quality biomaterials for a safer, healthier world.
We have a comprehensive benefits package that includes your standard benefits such as health and dental insurance, health savings account (company funded), life insurance, short and long-term disability, and a 401k program with a generous match to name a few. In addition, we are proud to support our team and their families by offering daycare assistance, tuition reimbursement, bonus potential, a competitive compensation and benefits package, and plenty of opportunities for training and growth.
If you have a passion for science, we encourage you to apply!
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