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Part Time Data Science Jobs in Minnesota (NOW HIRING)

Supply Chain PT

Winona, MN · On-site

$15/hr

Math, Statistics, Data Science, Supply Chain, Operations, Finance or a related Business field ABOUT ... PART-TIME BENEFIT: Fastenal offers a 401(k) with an employer contribution. COMPENSATION: The base ...

... Data Science or a related Business field o Excellent written and oral communication skills o ... PART-TIME BENEFIT: Fastenal offers a 401(k) with an employer contribution. COMPENSATION: The pay ...

We believein pushing the boundaries of human science and data science to make the biggest impact ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

Be Seen First

The Lab Tech will assist in sample receipt and preparation as well as clerical duties such as data ... Has a bachelor's degree in chemistry, biology, environmental science or related field (or in ...

$17.50 - $20.75/hr

Work Mode At Boston Scientific, we value callaboration and synergy. This role folls an onsite work ... Product Data Management (PDM), Systems Application & Products (SAP), and Process Equipment ...

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Part Time Data Science information

See Minnesota salary details

$9

$45

$109

How much do part time data science jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for part time data science in Minnesota is $45.60, according to ZipRecruiter salary data. Most workers in this role earn between $14.95 and $67.73 per hour, depending on experience, location, and employer.

What do you mean by part?

In a part-time data science role, the position involves working fewer hours than a full-time job, often on a flexible schedule. It typically requires skills in data analysis, programming, and tools like Python or R, and may be suitable for students or professionals seeking additional work experience.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What is the synonym of part?

In the context of a part-time data science role, the word 'part' is synonymous with 'partial' or 'segment,' indicating a role with fewer hours or responsibilities compared to full-time positions. Such roles often require skills in data analysis, programming, and familiarity with tools like Python or R, and may offer flexible schedules.

What word part means renal pelvis?

In anatomy, the term 'pelvis' refers to the renal pelvis, which is the part of the kidney that collects urine before it moves to the ureter. Understanding anatomical terminology is useful for data scientists working with medical data or developing health-related models. Knowledge of medical terminology can aid in accurate data labeling and analysis.

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

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.
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 cities in Minnesota are hiring for Part Time Data Science jobs? Cities in Minnesota with the most Part Time Data Science job openings:
Infographic showing various Part Time Data Science job openings in Minnesota as of June 2026, with employment types broken down into 2% As Needed, 74% Full Time, 18% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $94,843 per year, or $45.6 per hour.
Data Collector

Part-time

Medical, Retirement, PTO

Posted 26 days ago


Job description

About the Job
 

IGDI Lab, housed within the Department of Educational Psychology in the College of Education and Human Development at the University of Minnesota, has an occasional need for part-time, temporary or casual employees for a nationwide study. Our work focuses on assessment and data-based decision-making within a multi-tiered system of support for English- and Spanish-speaking children ranging from 3-5 years of age. 
Were currently hiring for our I-SPEAK project (Interactive Storybook Platform for the Equitable Assessment of Knowledge). I-SPEAK is an innovative preschool assessment that uses storytelling to create a culturally and linguistically responsive, engaging experience for young children. The assessment includes three English stories (each centering African American/Black children, Latine children, or children experiencing economic hardship) and a Spanish story centering Spanish-speaking children. Data collectors can give assessments in Spanish, English, or both languages depending on their language proficiency.
Positions are available throughout the U.S. in locations where we have study partnerships. Confirmed locations include Minneapolis/St. Paul, MN and Atlanta, GA. We also anticipate openings in Ohio, New Jersey, California, Massachusetts, and other states.
The position requires an interest in and knowledge of early childhood assessment. This data collection position includes training on assessments and interacting with young children to collect data. Data collectors will travel to early childhood classrooms and use iPads to assess children. Once hired, all data collectors will be trained and are required to achieve 90% fidelity before they are allowed to begin testing. After completing training, data collectors are required to test children, record the data, and report updates to the research team.
This position is based in-person. This position is an hourly temp casual position with hours that ebb and flow with the needs of data collection for the IGDI Lab. The position is expected to last through August 2026.


Data collection will primarily take place during daytime hours (short shifts generally between the hours of 8am-5pm M-F). There may also be occasional shifts in evenings and/or weekends. The work schedule is temporary in nature, meaning the employee is limited to 67 days of work in a calendar year. It can also be casual in nature, meaning the employee can work 14 or fewer hours per week. A set number of hours are not guaranteed each week. 


Employees working in this position are paid an hourly rate; temporary and casual employees are not eligible for retirement plans, health insurance, vacation, sick leave, or the Regents Scholarship.
Job Responsibilities:
Data Collection and Data Entry (100%):

  • Travel to school and childcare sites and collect assessment data with preschool children
  • Document all assessment scores
  • Transfer data each session by recording progress in a tracking spreadsheet
Qualifications
 

Required Qualifications:

  • Some high school or 2 years work experience
  • Experience working with preschool and/or elementary-age children
  • Ability to communicate with supervisor and team members over email, phone, and/or videoconference
  • Ability to collaborate effectively with people from a variety of communities, backgrounds, and identities
  • Reliable transportation for travel to school and childcare sites
  • Ability to work short shifts that align with needs of the project and partner programs (generally between the hours of 8am-5pm M-F)

Preferred Qualifications:

  • Lived experiences that align with project goals
  • Demonstrated strong attention to detail and organizational skills
  • Excellent verbal and written communication skills
  • Ability to take initiative and be self-directed 
  • Experience in classroom settings and/or working with children one-on-one
  • Experience with data collection
  • Demonstrated excellent data entry skills
  • Demonstrated written and verbal communication fluency in Spanish
About the Department
 

Department of Educational Psychology:
The Department of Educational Psychology provides training in the cognitive, emotional, and social learning processes that underlie education and human development across the lifespan, including: the psychological foundations of education, quantitative methods in education, the practice and science of counseling psychology, school psychology, and special education. Faculty and students provide leadership and consultation to the state, nation, and international community. The department's scholarship and teaching enhance professional practice in schools and universities, community mental health agencies, business and industrial organizations, early childhood programs, and government agencies. https://www.cehd.umn.edu/edpsych 

The College of Education and Human Development (CEHD), the University's third largest college, contributes to a just and sustainable future through engagement with the local and global communities to enhance human learning and development at all stages of life. We know diversity is necessary to do our best work and foster our humanity. Thats why the CEHD community is collectively dedicated to cultivating an inclusive and equitable environment, embracing and celebrating all identities of our students, staff, and faculty. These values are also a moral imperative requiring continuous proactive measures and a firm stance against prejudice, discrimination, and systemic injustice.

Pay and Benefits
 

Pay Range: $20 - $26/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 Forbes as a Best Employer for Company Culture (2026), Best Employer for Women (2023), and Best Employer by State (2022-2026). In 2026, we also received Culture Excellence & Industry Awards recognition for employee appreciation and work-life flexibility.