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Part Time Remote Data Science Jobs in Minnesota (NOW HIRING)

SQL DBA

Maple Grove, MN · On-site +1

$50 - $60/hr

SQL DBA Location: Remote - USA Employment Type: Part-time Pay Range: $50/hr - $60/hr - Key ... Support reporting improvements and data accessibility * Troubleshoot system and infrastructure ...

$49.04K - $60.59K/yr

Description This a part time position working approximately 20-30 hours weekly. This is a remote ... Ability to analyze and determine the applicability of financial data, to draw conclusions and make ...

$49.04K - $60.59K/yr

Description This a part time position working approximately 20-30 hours weekly. This is a remote ... Ability to analyze and determine the applicability of financial data, to draw conclusions and make ...

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Part Time Remote Data Science information

What are the key skills and qualifications needed to thrive as a Part Time Remote Data Scientist, and why are they important?

To thrive as a Part Time Remote Data Scientist, you need a solid understanding of statistics, programming (typically Python or R), and data analysis, usually reinforced by a degree in a relevant field or equivalent work experience. Familiarity with tools such as SQL, Jupyter Notebooks, and machine learning libraries like scikit-learn or TensorFlow, as well as version control systems like Git, is commonly expected. Strong problem-solving skills, effective communication, and self-motivation are crucial for managing projects independently and collaborating remotely. These skills enable you to deliver actionable insights and value to organizations while maintaining productivity and accountability in a flexible, remote environment.

How do part-time remote data scientists typically collaborate with full-time team members and stay aligned on project goals?

Part-time remote data scientists often use collaboration tools like Slack, Zoom, and project management platforms to communicate regularly with full-time team members. They participate in scheduled check-ins, contribute to shared documentation, and frequently update progress on assigned tasks to ensure alignment with project goals. Clear communication and proactive scheduling help address challenges such as different time zones and limited overlapping hours. This structure supports strong teamwork and keeps part-time contributors integrated into the broader data science workflow.

What is a part time remote data science job?

A part time remote data science job involves working with data to analyze, interpret, and generate insights for organizations, but on a flexible, reduced hour schedule and entirely from a remote location. Typical tasks may include data cleaning, statistical analysis, building machine learning models, and creating data visualizations. These roles are ideal for individuals seeking work-life balance, students, or professionals looking to supplement their income while working from home. Employers often require proficiency in programming languages like Python or R, experience with data tools, and strong analytical skills.

What is the difference between Part Time Remote Data Science vs Part Time Remote Data Analysis?

AspectPart Time Remote Data SciencePart Time Remote Data Analysis
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; sometimes certifications in machine learning or data analysisBachelor's in Data Analysis, Statistics, or related fields; certifications in Excel, SQL, or data visualization tools
Work EnvironmentRemote, project-based, often involves coding, modeling, and algorithm developmentRemote, focuses on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, business consulting, retail, finance

Part Time Remote Data Science involves more technical skills like machine learning and programming, while Part Time Remote Data Analysis emphasizes interpreting data and creating reports. Both roles are remote and part-time but differ in technical complexity and focus areas.

What are the most commonly searched types of Remote Data Science jobs in Minnesota? The most popular types of Remote Data Science jobs in Minnesota are:
What are popular job titles related to Part Time Remote Data Science jobs in Minnesota? For Part Time Remote Data Science jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Part Time Remote Data Science jobs in Minnesota look for? The top searched job categories for Part Time Remote Data Science jobs in Minnesota are:
What cities in Minnesota are hiring for Part Time Remote Data Science jobs? Cities in Minnesota with the most Part Time Remote Data Science job openings:
Infographic showing various Part Time Remote Data Science job openings in Minnesota as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, 7% Part Time, 4% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Nutrition Research Assistant

Nutrition Research Assistant

University of Minnesota

Austin, MN • On-site, Remote

$18/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Job description

About the Job
 

The Hormel Institute is seeking to work with nutrition researchers who are interested in conducting dietary interviews and/or assisting with intervention delivery. This role provides the employee with the opportunity to conduct diet interviews over the phone or deliver nutrition interventions. The research assistant can work remotely. This opportunity offers direct involvement in participant-facing activities. Successful candidates will gain hands-on training in dietary recall methods or applied public health nutrition strategies. It is strongly encouraged that successful candidates continue in this role for a year. Flexibility in scheduling is essential, as dietary recalls must be conducted based on participant availability. The employer retains the right to change or assign other duties to this position.
Focus of Job Responsibilities

    Participate in virtual training sessions on conducting 24-hour dietary recalls remotely (5%)
    Participate in research team meetings and discussion sessions (5%)
    Conduct dietary recalls via phone based on the participants availability (up to 90%)
    Support the launch and delivery of digital nutrition studies, including participant engagement (up to 40%)
    Assist with study documentation, data entry, and organization of participant materials (up to 10%)
Flexible Work Profile

The Research and Innovation Office (RIO) and The Hormel Institute endorses a work with flexibility approach that offers a welcoming and flexible work environment where everyone is inspired to do their best. Work location options include working fully remote, partially remote, or entirely in the office and are based on the work of the position. Some on-site work may be necessary for certain positions, even those designated as fully remote.  Because we are a land-grant institution that serves the state, the University will continue to- in most cases- expect employees to live in Minnesota.
Profile 4, Fully Remote - Only occasionally visiting the office.  Typically spends 4 or less days per month working in the office/lab on average. Your dedicated office space will be in your remote work location. The Hormel Institutes management retains the right to modify flexible work arrangement agreements on a temporary or permanent basis for any reason at any time.

Qualifications
 

Required Qualifications

    Previous experience implementing or supporting nutrition interventions.
    High school diploma or GED equivalent
    Demonstrated ability to stay organized and manage multiple tasks efficiently.
    Able to collaborate effectively in a remote team environment and respond to shifting priorities as needed.
    Strong verbal communication skills, especially over the phone or Zoom.
    Comfortable interacting with individuals from diverse backgrounds.
    Experience handling sensitive information with professionalism and empathy.
    Has experience with food preparation and exposure to different cuisines. 
    Reside in Minnesota. 
    Previous interaction with participants in nutrition studies. 
 

Preferred Qualifications

    Familiarity with dietary assessment tools.
    Coursework in nutrition, dietetics, public health, or related fields.
 

Physical & Environmental Requirements

    Able to speak to participants for up to 90 minutes.
    Has access to a computer and high-speed Internet.
    Has access to a private area with no one around to conduct diet recalls.
 

About the Department
 

The Hormel Institute is an independent biomedical research institution within the University of Minnesotas Research and Innovation Office. Established in 1942, our mission is to conduct research and provide education in the biological sciences with applications in medicine and agriculture, specifically by understanding, treating, and controlling cancer and other chronic diseases. The Hormel Institute serves as a center of technical and educational expertise for the benefit of the local community, the State of Minnesota, and beyond. We are located in the uniquely diverse rural community of Austin, MN, conveniently only 35 miles from Rochester, MN, and 100 miles (1.5 hours) south of Minneapolis/St. Paul. The Hormel Institute is committed to fostering a work environment that promotes inclusive excellence, supportive employee practices, and encourages diversity of thought that drives innovation and creativity in our science.
 

Pay and Benefits
 

Pay Range: $18.00 per hour; depending on education/qualifications/experience.


Retirement plan options are available for Civil Service, Faculty, Labor-Represented, Professional & Administrative, and Temp Casual classifications.  Learn more about retirement plans.

How To Apply
 

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.

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 the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of Americas Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).