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Parttime Data Science Jobs in Minneapolis, MN (NOW HIRING)

Compeer Financial

Intern Data Analytics

Lakeville, MN · On-site +1

$20 - $21/hr

This intern will work part-time during the school year and full-time through the summer of 2027 ... Must be working towards completing a bachelor's or master's degree in Data Science, Computer ...

Compeer Financial

Intern Data Analytics

Lakeville, MN · On-site

$20 - $21/hr

This intern will work part-time during the school year and full-time through the summer of 2027 ... Must be working towards completing a bachelor's or master's degree in Data Science, Computer ...

IQVIA

MedTech

Minneapolis, MN · On-site

$35 - $38/hr

We believe in 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 ...

IQVIA

MedTech

Minneapolis, MN · On-site

$39 - $42/hr

We believe in 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 ...

University of Minnesota

Data Collector

Minneapolis, MN · On-site

$20 - $26/hr

... need for part-time, temporary or casual employees for a nationwide study. Our work focuses on ... and science of counseling psychology, school psychology, and special education. Faculty and ...

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All JobsParttime Data Science JobsParttime Data Science Jobs in Minneapolis, MN

Parttime Data Science information

See Minneapolis, MN salary details

$48K

$172.2K

$254.2K

How much do parttime data science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for parttime data science in Minneapolis, MN is $172,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

What is the difference between Parttime Data Science vs Parttime Data Analyst?

AspectParttime Data ScienceParttime Data Analyst
Required SkillsStatistical analysis, programming (Python/R), machine learningData visualization, basic statistics, Excel, SQL
Work EnvironmentTech companies, startups, research projectsBusiness, marketing, finance departments
Common CertificationsCertified Data Scientist, Python certificationsMicrosoft Excel, SQL certifications

Parttime Data Science roles typically require advanced skills in programming and machine learning, often found in tech or research settings. In contrast, Parttime Data Analyst positions focus on data visualization and basic analysis, suitable for business or marketing environments. Both roles are popular in various industries, but Data Science generally demands more technical credentials and programming expertise.

What are popular job titles related to Parttime Data Science jobs in Minneapolis, MN?

For Parttime Data Science jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Parttime Data Science jobs in Minneapolis, MN look for?

The top searched job categories for Parttime Data Science jobs in Minneapolis, MN are:

What cities near Minneapolis, MN are hiring for Parttime Data Science jobs?

Cities near Minneapolis, MN with the most Parttime Data Science job openings:

Parttime Data Science jobs near you
Infographic showing various Parttime Data Science job openings in Minneapolis, MN as of August 2026, with employment types broken down into 100% Part Time. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $172,246 per year, or $82.8 per hour.

Supervisory Data Scientist

Career Opportunities | USCIS

Bloomington, MN

$107K/yr

Full-time, Part-time

Posted 6 days ago

Job description

Protect your homeland and defend your culture. Join USCIS, America's frontline defense against illegal foreign infiltration and fraud.
As a Supervisory Data Scientist, you will oversee and support USCIS HRIT initiatives by managing advanced data science projects, coordinating business systems, ensuring high-quality reporting and analytics, and providing strategic and operational support to HRIT Leadership.Qualifications:The qualifications for this position must be met by 11:59 PM (Eastern Time) on 09/08/2026.
Time in Grade does not apply to Delegated Examining Announcements, any reference to Time in Grade in the questionnaire will not apply to the rating and ranking of applicants.
Basic Requirements: All applicants must meet the following basic requirements: (Must be supported in Transcripts from an accredited institution, Resume and/or Applicable Certificate)
  • Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR
  • Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
GS-14: You qualify at the GS-14 level if you possess one (1) year of specialized experience, which is equivalent to at least the GS-13 level in the federal government, that equipped you with the skills needed to successfully perform the duties of the position. You must have experience performing the majority of the following duties:
  • Applying data science, computer science, mathematics, and statistical methods to conduct complex analysis, support algorithm development, validate data sources, and develop business or technical recommendations.
  • Utilizing statistical tools, data platforms such as SAS, R, Python, SQL, Databricks, and similar technologies to query, transform, analyze, and report data from multiple sources.
  • Developing, evaluating, and improving data collection, and processing methodologies to support data integrity, analytical accuracy, and operational decision-making.
  • Managing data analytics, data architecture, dashboard, reporting, automation, or business process improvement initiatives that support organizational priorities, policy development, or strategic objectives.
  • Leading, supervising, or guiding staff or project teams performing data analysis, visualization, engineering, reporting, predictive modeling, or related data technology functions.
Please read the following important information to ensure you submit everything we need to consider your application: It is your responsibility to ensure that you submit your responses and appropriate documentation prior to 09/08/2026. You must upload your resume under the "Resume" category. Resumes submitted under the "Other Documents" category will not be considered. Your most recently submitted resume will be used to determine your qualifications for the position advertised in this announcement. Therefore, your resume must highlight your most relevant, significant experience related to the requirements found in the qualification section of this announcement, as well as any applicable education. Limit your resume to no more than two pages. The USAJOBS database will not allow an applicant to submit an application that includes a resume over two pages. To help ensure your resume remains clear and easy to read, we recommend using margins of at least 0.8 inches and a font size of at least 11 point. Be clear and specific when describing your work history since human resources cannot make assumptions regarding your experience. Your application will be rated and ranked based on your responses to the online questions.

Please ensure EACH work history includes ALL of the following information:
  • Job Title (include series and grade if Federal Job)
  • Duties (be specific in describing your duties)
  • Employer's name and address
  • Supervisor name and phone number
  • Start and end dates including month, day and year (e.g. June 18 2007 to April 05 2008)
  • Start and end dates for each grade/pay level if you've held a federal position.
  • Full-time or part-time status (include hours worked per week)
  • Salary
Determining length of General or Specialized Experience is dependent on the above information and failure to provide the above information may result in a finding of ineligible.
Note: Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration.
Federal Experience: If you are using current or prior federal experience as a basis for qualifying for this position, the grade levels and length of employment (mm/dd/year) at each grade level must be listed in your work history. This information will be further validated if selected for this position.
National Service Experience (i.e., volunteer experience): Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
Education:EDUCATIONAL SUBSTITUTION: There is no educational substitution at this grade level.
Basic Education Requirement: You must submit a copy of your college transcript(s) (unofficial is acceptable) to support the basic educational requirement or a list of coursework with hours completed. For verification purposes, the transcript submitted must include your name and educational institution.
Voluntary Separation Incentive Payment (VSIP): Per 5 CFR 576.202, An employee who receives a Voluntary Separation Incentive Payment (VSIP) and later accepts employment for compensation with the Government of the United States within 5 years of the date of the separation on which the VSIP is based, including work under a personal services contract or other direct contract, must repay the entire amount of the VSIP to the agency that paid it (proof of payment is required) before the individual's first day of reemployment.Employment Type: OTHER

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