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Data Science Associate Jobs in Apple Valley, MN (NOW HIRING)

Senior Forward Deployed Engineer- AWS

Minneapolis, MN · On-site

$109K - $149K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 5+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Lead Forward Deployed Engineer - AWS

Minneapolis, MN · On-site

$107K - $140K/yr

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 7+ years of ... AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI ...

Showing results 21-40

Data Science Associate information

See Apple Valley, MN salary details

$59K

$69.9K

$132.4K

How much do data science associate jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data science associate in Apple Valley, MN is $69,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $61,100.00 per year, depending on experience, location, and employer.

What is a data science associate?

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?

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.

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.

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 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 advance into more specialized roles.

What cities near Apple Valley, MN are hiring for Data Science Associate jobs?

Cities near Apple Valley, MN with the most Data Science Associate job openings:

Infographic showing various Data Science Associate job openings in Apple Valley, MN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,858 per year, or $33.6 per hour.

Sr. Scientific Associate-Thermal Interface

Henkel AG & Co. KGaA

Chanhassen, MN • On-site

Full-time

Re-posted 17 days ago


Job description

About this Position AtHenkel, you'll be part of an organization that's shaping the future throughinnovation, sustainability and collaboration. With our trusted brands likePersil, 'all, Loctite, Snuggle, and Schwarzkopf and our cutting-edgetechnologies, you'll have countless opportunities to explore new paths andgrow.
Thisposition is with our Adhesive Technologies business unit - where we empower ourpeople to transform industries and provide our customers with a competitiveadvantage through adhesives, sealants and functional coatings.
Dare to learn new skills, advance in your career andmake an impact at Henkel.  What youll do
  • Fully manage and lead product analysis and testing while documenting progress and results in the LIM systems
  • Provide technical support to customer and analyze results after product releaseRecord, organize and communicate results/data from experiments and testing
  • Explore new technology, product, or performance improvement opportunities
  • Observe safety and environmental guidelines while handling products
  • Perform data analysis, draw conclusions, and make experimental recommendations
  • Maintain laboratory and storage areas, as well as equipmentEnsure adherence to all applicable environmental, health and safety regulations, standards and policies 
  • Actively participate in scientific publications and forums
  • Collaborate closely with product management, production and sourcing teams to develop new products and nurture current product lines through product oSupport manufacturing to ensure quality product delivery
  • Attend or present technical work at business meetings and conferences