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Data Science Associate Jobs in Maplewood, 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 ...

Bachelor's degree (or equivalent) in Computer Science, Data Science or Engineering. * 3+ 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 ...

Data analysis * Customer communication * Assist in training of staff * Internal communication about ... A Bachelor of Science in a field related to Agriculture or Laboratory Science is required. Relevant ...

Showing results 21-40

Data Science Associate information

See Maplewood, MN salary details

$58.9K

$69.7K

$132.1K

How much do data science associate jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data science associate in Maplewood, MN is $69,653.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $60,900.00 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 Maplewood, MN are hiring for Data Science Associate jobs?

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

Infographic showing various Data Science Associate job openings in Maplewood, MN as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $69,653 per year, or $33.5 per hour.

Post-Doctoral Associate

University of Minnesota

Minneapolis, MN • Hybrid

$63K/yr

Full-time

Medical, Dental, Life

Re-posted 24 days ago


Job description

About the Job
 

The School of Public Health Division of Biostatistics and Health Data Science (BHDS) is seeking applications for a Post-Doctoral Associate (9546 Post-Doctoral Associate) position. For more info on the division, visit http://www.sph.umn.edu/academics/divisions/biostatistics/.
The successful candidate will work with Dr. Thierry Chekouo and his collaborators within and outside the University of Minnesota. The research will focus on the development of Bayesian statistical/machine learning methods for the data integration analysis of high-throughput imaging and molecular data (i.e., genome, transcriptome, epigenome, and more). The methods would be able to systematically integrate biomedical/biological knowledge to improve the prediction power of clinical outcomes. Domains of applications may include cancer and cardiovascular diseases, and neurodevelopment disorders. The post-doc will also work on software development (in R, or in Python, Java, Stan, or BUGS or interfacing R with C/C++), simulation studies, real data analysis, and writing manuscripts.
Duration: This appointment is for 1-2 years, with a possible extension to year 3 depending on satisfactory performance and funding availability.
Starting Date: Negotiable. Position will remain open until filled.
Annual Salary: Based on NIH NRSA postdoctoral stipend levels.
Postdoc No Experience: $63,480
Postdoc 1 year of Experience:  $63,900
Postdoc 2 years of Experience: $64,380
Work Arrangements: The University of Minnesota endorses a Work. With Flexibility. and we offer a flexible work environment that meets the needs of our students, faculty, staff, and partners we serve. This position will have a hybrid work option with a preferred 3 days onsite during core business hours. They are expected to have access to a reliable internet connection for duties undertaken remotely. Work arrangements will be discussed during the interview. 
Onsite location: University Office Plaza, 2221 University Ave SE, Minneapolis, Twin Cities Campus - East-bank. 
Sponsorship: This position is not eligible for H-1B visa sponsorship.
 

Qualifications
 

Qualifications
Required Qualifications: A PhD degree in Biostatistics, Statistics, or a related field, strong computing/programming and communication skills, and a strong interest in omics and/or imaging data analysis are required.
Experience in Bayesian high-dimensional data analysis is highly preferred.

About the Department
 

About the Department

The University of Minnesota School of Public Health (SPH) is Minnesota's only school of public health, committed to improving the health and well-being of communities worldwide. Through innovative research, learning, and concrete action, we tackle today's biggest health challenges. SPH includes four academic divisions: Biostatistics & Health Data Science, Environmental Health Sciences, Epidemiology & Community Health, and Health Policy & Management.

Ranked nationally by the U.S. News & World Report as the #6 public school of public health, SPH is home to approximately 1,000 students, 130 faculty, and 400 staff across 25 internationally recognized centers. Our academic excellence is highlighted by our #3-ranked Master of Healthcare Administration (MHA) and #9-ranked Biostatistics programs.

Pay and Benefits
 

Pay Range: Annual Salary: Based on NIH NRSA postdoctoral stipend levels; depending on education/qualifications/experience
Postdoc No Experience: $63,480
Postdoc 1 year of Experience:  $63,900
Postdoc 2 years of Experience: $64,380

Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility.

  • Competitive wages, paid holidays, and generous time off
  • Continuous learning opportunities through professional training
  • Medical, dental, and pharmacy plans
  • Healthcare and dependent care flexible spending accounts
  • University HSA contributions
  • Disability and life insurance
  • Employee wellbeing program
  • Financial counseling services
  • Employee Assistance Program with eight sessions of counseling at no cost
How To Apply
 

Please note: At this time, the Universitys employment site is limited in how it collects applicant demographic information. Applicants are encouraged to provide their pronouns and/or preferred name within their attached application materials.

Applications must be submitted online.  To be considered for this position, please click the Apply button and follow the instructions.  You will be given the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section.
Must contain the following documents. 

  • Cover letter
  • Curriculum vitae 
  • Graduate transcripts 
  • Contact information of at least two referees.

To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647.

Diversity
 

The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission.  The University is committed to attracting and retaining employees with varying identities and backgrounds.

The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression.  To learn more about diversity at the U:  http://diversity.umn.edu

Employment Requirements
 

Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.

About University of Minnesota
 

The University of Minnesota, Twin Cities (UMTC)

The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.

At the University of Minnesota, we are proud to be recognized by Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023, 2025, 2026), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.