ZipRecruiter

Log In

2

Part Time Data Science Jobs in Minneapolis, MN (NOW HIRING)

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 ...

Labcorp

Specimen Processor - Part Time

Saint Anthony, MN

$17.75 - $25.07/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Part Time Specimen Processor to join our team of Medical Offices in Hinckley ...

Labcorp

Specimen Processor - Part Time

New Brighton, MN · On-site

$17.75 - $25.07/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Labcorp is seeking a Part Time Specimen Processor to join our team of Medical Offices in Hinckley ...

next page

Showing results 1-20

All JobsData Science JobsPart Time Data Science JobsPart Time Data Science Jobs in Minneapolis, MN

Part Time Data Science information

See Minneapolis, MN salary details

$9

$47

$113

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

As of Aug 29, 2026, the average hourly pay for part time data science in Minneapolis, MN is $47.33, according to ZipRecruiter salary data. Most workers in this role earn between $15.52 and $70.31 per hour, depending on experience, location, and employer.

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.

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 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.

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.
More about Part Time Data Science jobs

What are the most commonly searched types of Data Science jobs in Minneapolis, MN?

The most popular types of Data Science jobs in Minneapolis, MN are:

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

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

Part Time Data Science jobs near you
Infographic showing various Part Time Data Science job openings in Minneapolis, MN as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $98,450 per year, or $47.3 per hour.

Sr. Data Scientist - Network Modeling & Optimization

Richfield, MN • Hybrid

Best Buy
Retail • 10K+ employees

6.8

Company rating: 6.8 out of 10

Based on 1,792 frontline employees who took The Breakroom Quiz

14th of 30 rated technology retailers

People enjoy working here

Recommended by students

Respectful managers

Learn more about Best Buyexternal

Full-time, Part-time

Retirement, PTO

Posted 7 days ago

Job description

The Sr. Data Scientist - Network Modeling & Optimization will be a senior technical contributor responsible for leading complex analytical and modeling projects and supported by a small dedicated team of Data Scientists. This role's primary responsibility will be updating, running and improving existing Supply Chain network models to support business planning and one-off decisions both tactical and strategic.  The role will be hands-on. The role will also assist and advise in the development of new models and readiness for production.
The Network Modeling & Optimization team within Supply Chain Analytics develops analytical capabilities that help Best Buy evaluate its supply chain network across cost, capacity, customer service, product flow, inventory placement, and operational feasibility.
This role is hybrid, which means you will be required to work up to three days/week on site at the Best Buy corporate office in Richfield, Minnesota. You can work virtually from home or another non Best Buy location on days not expected in the office. The recruiter or hiring manager will provide more details during the hiring process.
What You'll Do
  • Develop and maintain analytical inputs and optimization models representing facilities, transportation lanes, demand, product flows, costs, capacities, service requirements, and business rules.
  • Evaluate strategic and tactical scenarios involving facility location, network assignments, capacity, sourcing, inventory placement, transportation, and product flow.
  • Validate model behavior, diagnose infeasibilities and data-quality issues, and clearly communicate assumptions, limitations, tradeoffs, and recommendations to business and technical stakeholders
  • Translate ambiguous supply chain questions into structured analytical problems by defining objectives, available decisions, constraints, assumptions, data requirements, and expected outputs.
  • Ability to translate complex physical processes into simplified functions that preserve the essential real-world characteristics but simple enough to become inputs for mathematical models.  
  • Support complex network modeling and optimization projects from business-problem definition through model development, validation, interpretation, and recommendation.
  • Provide technical guidance and mentorship to Data Scientists and analysts while establishing reusable modeling practices, documentation standards, and quality controls.

Basic Qualifications
  • Bachelor's degree in Operations Research, Industrial Engineering, Mathematics, Statistics, Computer Science, Economics, Engineering, Supply Chain Analytics, or a related quantitative field-or equivalent experience.
  • 4+ years of relevant experience in data science, operations research, optimization, supply chain analytics, forecasting, simulation, or a related analytical field.
  • 4+ years of leading complex analytical projects and translate ambiguous business questions into structured modeling approaches.
  • 4+yearshands-on experience using data analytics (e.g., SQL, Python, R), and machinelearningand/or optimization tools (i.e., Python, R,Gurobi, Vertex AI).
  • Strong knowledge of optimization, operations research, statistical modeling, forecasting, simulation, machine learning, or another advanced analytical discipline.
  • Ability to explain technical concepts, model results, and business recommendations clearly to technical and non-technical audiences.
Preferred Qualifications
  • Advanced degree in Operations Research, Industrial Engineering, Mathematics, Statistics, Computer Science, Supply Chain Analytics, or a related quantitative field.
  • Experience with supply chain network design, transportation, distribution, fulfillment, inventory, logistics, or capacity planning.
  • Experience developing optimization models using methods such as linear programming, mixed-integer programming, network flow, facility location, or assignment modeling.
  • Experience defining model inputs, decision variables, constraints, objective functions, scenarios, and outputs-and diagnosing model infeasibilities.
  • Familiarity with AIMMS or comparable optimization platforms, libraries, or solvers. Direct AIMMS experience is preferred but not required.
  • Experience providing technical leadership, mentoring Data Scientists or analysts, and communicating recommendations to business leaders.
 
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.
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

View All BEST BUY Jobs

What Best Buy employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply