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Part Time Computer Science Jobs in Minneapolis, MN

Engineering Duty Officer

Plymouth, MN · On-site

  • Medical

  • Retirement

  • PTO

Computer Science Massachusetts Institute of Technology (MIT) Curriculum Listing: * Naval ... PART-TIME OPPORTUNITIES There are part-time roles as an Engineering Duty Officer in the Navy.

Engineering Duty Officer

Minneapolis, MN · On-site

  • Medical

  • Retirement

  • PTO

Computer Science Massachusetts Institute of Technology (MIT) Curriculum Listing: * Naval ... PART-TIME OPPORTUNITIES There are part-time roles as an Engineering Duty Officer in the Navy.

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Showing results 1-20

Part Time Computer Science information

See Minneapolis, MN salary details

$59K

$86.7K

$102.3K

How much do part time computer science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for part time computer science in Minneapolis, MN is $86,749.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $97,600.00 per year, depending on experience, location, and employer.

What are part-time jobs in computer science?

Part-time computer science jobs focus on developing programs, engineering computer infrastructure, providing support for computer systems, and teaching computer-related subjects. As a part-time computer science professional, you perform your duties for less than 40 hours per week. As a computer science instructor, you teach coding and related skills to help students learn to develop or build programs, platforms, and networks. Your responsibilities as a computer scientist include installing, repairing, or customizing software or systems. You can also work in a job where you provide technical support for computer users. Some part-time professionals freelance or work on weekends and evenings.

What is the easiest part time computer science job to get?

Part-time roles such as data entry, technical support, or basic web development are generally easier to obtain in computer science, especially for those with foundational skills in programming, troubleshooting, or using common tools like HTML or Excel. These positions often require minimal experience and can be suitable for students or those new to the field.

What is the difference between Part Time Computer Science vs Part Time Software Developer?

AspectPart Time Computer SciencePart Time Software Developer
Required CredentialsTypically a degree or coursework in computer scienceOften a degree in computer science or related field, sometimes self-taught
Work EnvironmentAcademic settings, research labs, or online learning platformsTech companies, startups, freelance projects, or remote work
Employer & Industry UsageEducational institutions, research organizations, online education providersSoftware firms, IT departments, freelance clients
Common Search & Comparison IntentUnderstanding academic or foundational roles in computer scienceSeeking practical software development opportunities in part-time roles

Part Time Computer Science generally focuses on foundational knowledge, research, and academic coursework, while Part Time Software Developer emphasizes practical coding, application development, and project work. Both roles often require similar educational backgrounds but differ in work environment and industry application.

What jobs can you get with a part time computer science degree?

A part-time computer science degree can qualify you for roles such as software developer, web developer, technical support specialist, or data analyst. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases or coding environments, and may be suitable for flexible or entry-level schedules.

What are the key skills and qualifications needed to thrive as a part-time computer science instructor, and why are they important?

To thrive as a Part-Time Computer Science Instructor, you should have a solid background in programming languages, algorithms, and computer science fundamentals, typically supported by a relevant degree or professional experience. Familiarity with learning management systems (LMS), coding platforms, and common programming tools is important for effective instruction and student engagement. Strong communication, adaptability, and patience help instructors explain complex concepts clearly and support diverse learners. These skills ensure that students receive quality education and are well-prepared for careers in technology.

What are some common challenges faced by part-time computer science professionals, and how can they be addressed?

Part-time Computer Science professionals often face challenges such as managing workload across limited hours, staying updated with rapidly evolving technologies, and integrating effectively with full-time team members. To address these, clear communication with supervisors about workload expectations is essential, as is setting aside dedicated time for skill development. Additionally, participating in regular team meetings and utilizing collaboration tools can help maintain strong connections with colleagues and ensure project alignment despite reduced hours.
What are the most commonly searched types of Computer Science jobs in Minneapolis, MN? The most popular types of Computer Science jobs in Minneapolis, MN are:
What are popular job titles related to Part Time Computer Science jobs in Minneapolis, MN? For Part Time Computer Science jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Part Time Computer Science jobs in Minneapolis, MN look for? The top searched job categories for Part Time Computer Science jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Part Time Computer Science jobs? Cities near Minneapolis, MN with the most Part Time Computer Science job openings:
Infographic showing various Part Time Computer Science job openings in Minneapolis, MN as of August 2026, with employment types broken down into 22% Full Time, and 78% Part Time. Highlights an 82% In-person, and 18% Remote job distribution, with an average salary of $86,749 per year, or $41.7 per hour.

Decision Scientist - Unstructured Data Intelligence

Best Buy

Richfield, MN

Full-time, Part-time

Retirement, PTO

Posted 20 days ago


Best Buy rating

6.9

Company rating: 6.9 out of 10

Based on 1,779 frontline employees who took The Breakroom Quiz

14th of 30 rated technology retailers


Job description

The Go-to-Market Strategic Analytics team delivers advanced analytics, measurement, and decision support across Best Buy's non-retail, customer-facing experiences (Digital, Category, Marketplace, Services, and Support). This role focuses on unlocking value from large-scale unstructured enterprise data and applying advanced analytical, statistical, and AI-driven techniques to solve complex business challenges. You will partner cross-functionally to leverage sources such as contact center transcripts, customer reviews, survey feedback, operational notes, and other text-based datasets to identify emerging issues, uncover root causes, quantify business impact, and influence enterprise strategy. 
As a Decision Scientist, you will lead analytical initiatives focused on transforming unstructured data into measurable business outcomes. You will apply advanced analytics, large language models (LLMs), natural language processing techniques, and statistical methodologies to discover insights that would otherwise remain hidden within enterprise data. You will work across teams to develop scalable analytical solutions, quantify customer and business impacts, and help guide investments that improve customer experience, operational performance, and long-term business results.
This role is hybrid, which means you will be required to work on site Monday through Thursday at the Best Buy corporate office in Richfield, Minnesota. You can work virtually from home or another non Best Buy location on Friday. The recruiter or hiring manager will provide more details during the hiring process.
This position is not eligible for immigrationsponsorship. 
What you'll do
  • Lead analytical initiatives that leverage structured and unstructured data to solve complex customer, operational, and business challenges.
  • Apply advanced analytics, AI, and large language models (LLMs) to generate insights from contact center interactions, customer feedback, operational notes, and other enterprise data sources.
  • Identify root causes, emerging trends, customer pain points, and operational opportunities through advanced analytical techniques.
  • Assess the frequency, severity, and long-term customer and business impacts of identified issues to help prioritize enterprise investments and improvement efforts.
  • Translate ambiguous business questions into analytical approaches and data-driven recommendations.
  • Develop repeatable analytical solutions and AI-enabled workflows that improve the speed, quality, and scale of insight generation.
  • Partner with business and technology teams to influence decisions through compelling analysis and storytelling.
  • Stay current on emerging AI and analytics capabilities, applying new techniques to deliver business value.
Basic qualifications
  • 3+ years experience in analytics, data science, or a related field, applying analytical and statistical techniques to solve business problems and influence decision-making.
  • 2+ years experience using SQL and/or Python to analyze and transform data.
  • 2+ years experience working with large and complex datasets from multiple sources.
  • 1+ year experience applying AI, machine learning, natural language processing, or large language models to real-world business challenges.
  • Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Data Science, Business Analytics, or a related quantitative field.
Preferred qualifications
  • Experience leveraging generative AI technologies, including LLMs, prompt engineering, RAG, AI agents, or related capabilities.
  • Experience analyzing unstructured customer or operational data such as contact center interactions, customer reviews, survey feedback, or case notes.
  • Strong analytical foundation in statistical analysis, experimentation, predictive modeling, or text analytics.
  • Demonstrated success influencing business decisions through data-driven insights and recommendations.
  • Excellent communication skills, with the ability to translate complex analyses into clear business actions.
  • Experience in customer experience, contact center analytics, retail, e-commerce, or related industries.
  • Master's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Data Science, Business Analytics, or a related quantitative field.
What's in it for you
We're committed to helping our people thrive at work and at home. Best Buy offers a range of benefits to support your overall well-being and provide support as you need it, especially at key moments in your life.
Our benefits include:
  • Competitive pay
  • Great employee discount
  • Financial savings and retirement resources
  • Support for your physical and mental well-being
Best Buy provides different types of leaves of absence (LOA) and potential pay sources to employees based on eligibility. The length of your LOA depends on your situation, where you live, your full-time or part-time employment status, and federal and state regulations. Intermittent or reduced-schedule leave is also available for certain medical or family care leaves. Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work location, employment status, salary or hourly status (exempt/non-exempt), and years of continued or bridged service.
Certain roles, where market norms demand it, are eligible for various forms of incentive pay to drive performance and offer recognition for achieving financial and strategic results. For more information about our incentive pay plans, including eligibility, please refer to our Incentive Programs Summary.
For more information about benefits, LOA and paid time off, please refer to our Benefits Guide.
About us
As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.
Best Buy is an equal opportunity employer.
Application deadline: Minimum of 5 days from the posting date. You can find that date above the job title at the top of the page.

What Best Buy employees say

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BEST BUY logo

About BEST BUY

Sourced by ZipRecruiter

As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life -- in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Richfield, MN, US

Year founded

1966