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Data Science Associate Jobs in Minnesota (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Minneapolis, MN

$124K - $280K/yr

... Associate] is a plus - Designing and implementing thorough data architecture strategies ... Engineering, Data Science, and Data Governance - Architecting and implementing cloud-based ...

Banner Engineering

Associate Data Analyst

Minneapolis, MN · On-site

$56K - $77K/hr

Position Summary The Associate Data Analyst is a member of Banner Engineering's Data Team ... Bachelor's degree in Computer Science, Management Information Systems (MIS), Business Analytics ...

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Pwc

Data Engineer - Senior Associate

Minneapolis, MN

$77K - $202K/yr

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

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How much do data science associate jobs pay per year?

As of Jul 18, 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?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

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 is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

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 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
R&D Associate Packaging Scientist/Packaging Scientist/Senior Packaging Scientist- Austin, MN

R&D Associate Packaging Scientist/Packaging Scientist/Senior Packaging Scientist- Austin, MN

Hormel Foods

Austin, MN • On-site

$64K - $137K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Hormel Foods rating

7.3

Company rating: 7.3 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

164th of 397 rated food and drinks producers

Job description


Associate Packaging Scientist - Packaging Scientist - Associate Sr Packaging Scientist - Senior Packaging Scientist
To save time applying, Hormel Foods does not offer sponsorship of job applicants for employment-based visas for this position at this time.
ABOUT HORMEL FOODS -
Hormel Foods Corporation, based in Austin, Minnesota, is a global branded food company with approximately $12 billion in annual revenue. Its brands include PLANTERS®, SKIPPY®, SPAM®, HORMEL® NATURAL CHOICE®, APPLEGATE®, WHOLLY®, HORMEL® BLACK LABEL®, COLUMBUS®, JENNIE-O® and more than 30 other beloved brands. The company is a member of the S&P 500 Index and the S&P 500 Dividend Aristocrats, was named one of the best companies to work for by U.S. News & World Report, one of America's most responsible companies by Newsweek, recognized by TIME magazine as one of the World's Best Companies and has received numerous other awards and accolades for its corporate responsibility and community service efforts. For more information, visit hormelfoods.com. hormelfoods.com.
JOB DESCRIPTION:
This packaging role organizes, plans, directs and conducts research in the area of packaging technologies that will lead to improved and new innovative and creative packaging applications in support of company goals and objectives. It provides technical advice and assistance to professional and non-professional personnel.
RESPONSIBILITIES:
  • Identifies, facilitates, devises and conducts research in the area of packaging which leads to the development and implementation of new packaging systems for the company. This involves maintaining competency in cutting edge packaging technology and broad packaging theory, and researching the feasibility of using this technology in conjunction with our products.
  • Investigates, recommends and implements packaging cost saving programs by evaluating new enhancements made to packaging materials and/or new design considerations with the planned goal of minimizing the costs associated with our products.
  • Fulfills the role as a technical service/troubleshooter when more broadly defined packaging problems at our facilities are beyond the scope of the plant/corporate personnel. May serve as a resource and advisor to other Packaging Scientists and personnel within the company.
  • Develops and plans systems for improving packaging efficiencies within the corporation. This includes the entering and managing of all packaging specifications for our company's products and may also include development of software and catalogue systems for collecting critical data regarding packaging materials and package attributes.
  • Facilitates practical applications of packaging technology requiring direct interaction with other areas of the company such as Engineering, Operations, Marketing and Purchasing etc. Oversees the development and integration of packaging technologies with the many vendors and suppliers who work with the company.
  • Coordinates and plans specific projects effectively, on a daily basis, with the group's Research Technicians.

QUALIFICATIONS:
Level of position offered (Associate Packaging Scientist, Packaging Scientist, Associate Sr Packaging Scientist, or Senior Packaging Scientist) will be determined based on candidate's skill set and experience.
Required
  • Bachelor's degree in Packaging Engineering or related field
  • Project management skills with the ability to lead and run projects smoothly.
  • Demonstrated self-motivation, initiative, and creativity
  • Ability to work both independently and in a team setting.
  • An understanding of basic scientific principles.
  • Strong analytical, time management, and record keeping skills.
  • Excellent interpersonal skills including good team building skills.
  • Excellent written and verbal communications skills with ability to effectively present technical concepts to a nontechnical audience
  • Applicants must not now, or at any time in the future, require employer sponsorship for a work visa
  • Applicants must be authorized to work in the United States for any employer
  • Must be 18 years of age or older (all plant positions including R&D)

Preferred
  • Packaging Equipment and/or Processing experience

LOCATION:
Austin, Minnesota - Hormel Foods Global Headquarters
BENEFITS:
Compensation package includes comprehensive medical, dental and vision coverage, discretionary annual merit increases and bonuses, 401(k) with employer match, stock purchase plan, relocation assistance, paid time off, FREE two-year community/technical college tuition for children of employees, and more.
The base pay range for this position $64,425 to $137,340 per year; however, actual compensation is influenced by a wide array of factors including but not limited to job-related knowledge, skills set, level of experience, and specific office location.
Hormel Foods provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

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