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Part Time Data Science Jobs in Minnesota (NOW HIRING)

... 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 ...

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 ...

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Part Time Data Science information

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$9

$45

$109

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

As of Jul 11, 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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables or tasks to improve model performance efficiently.

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.

Is 40 too late for data science?

Part time data science roles are accessible at any age, including at 40, provided you have relevant skills such as programming, statistics, and experience with tools like Python or R. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can enhance your prospects regardless of age.

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.

Will AI replace data scientists?

AI is transforming the role of data scientists by automating routine tasks like data cleaning and basic analysis, but it does not eliminate the need for human expertise in interpreting results, designing models, and making strategic decisions. Data scientists with skills in programming, statistical analysis, and machine learning remain essential for developing and managing AI systems. The profession is evolving to include more focus on complex problem-solving, domain knowledge, and ethical considerations.

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.

Can you work part-time as a data scientist?

Yes, data science is a field that offers part-time opportunities, especially for freelance or contract roles. These positions often require skills in programming, statistics, and tools like Python or R, and may have flexible schedules to accommodate part-time work arrangements.
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:
Data Visualization & Analytics Support

Data Visualization & Analytics Support

Fastenal Company

Winona, MN • On-site

$16/hr

Part-time

Retirement

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


Fastenal rating

7.7

Company rating: 7.7 out of 10

Based on 239 frontline employees who took The Breakroom Quiz

55th of 724 rated retailers


Job description

Job Description
Data Visualization & Analytics Support 212 W 2nd St, Winona, MN 55987 HEADD Part-time Shift(s): MON TUE WED THU FRI 7:00am - 5:00pm
10 - 28 hours/week OVERVIEW: Working as Part-time Data Visualization & Analytics Support, you will assist in reporting and business process activities within the Data Analytics department, while also gaining knowledge and skills in more technical aspects of the department's roles. RESPONSIBILITIES: The duties and responsibilities of this position include, but are not limited to: o Assisting various analysts on the team to complete projects, provide answers to business questions and information to reduce decision making uncertainty within the organization o Supporting visualization and reporting projects to provide end users with quality and effective information in an intuitive manner o Supporting analytics projects and predictive modeling based on varying sources of available customer and sales data. These projects will provide understanding in areas such as Market Basket, Location Effectiveness, Customer Segmentation, In-Branch Experience, Employee Performance, Product Mix and Inventory Effectiveness o Carrying out various business processes within the team that support company initiatives, including data entry and data processing tasks, communication with various other departments and personnel and documentation of ongoing project details o Assisting in research to determine the "why" behind the numbers and to generate hypotheses for further research o Reviewing and summarizing large amounts of data while maintaining a high level of accuracy o Learning and applying skills and techniques such as linear and logistic regression, decision trees, multivariate analysis, segmentation analysis and time series modeling o Gaining expertise on multiple analytical and reporting tools and leveraging them to optimize speed and quality of project deliverables as you progress in the position REQUIRED POSITION QUALIFICATIONS: The following skills and qualifications are required for this position: o 18 years of age or older o Possess a High School diploma or GED o Excellent written and oral communication skills o Proficient using Microsoft Office Suite o Exhibit strong problem solving, deductive reasoning and decision making skills o Demonstrate strong attention to detail o Learn and perform multiple tasks in a fast paced environment o Maintain confidentiality and appropriately handle sensitive information o Highly motivated and self-directed and customer service oriented o Work independently as well as in a team environment o Demonstrate our core values of ambition, innovation, integrity and teamwork o Pass the required drug screen (applicable in the US, Puerto Rico and Guam ONLY) PREFERRED POSITION QUALIFICATIONS: o At least 1 year of experience in a professional business environment o Possess or working towards a degree in Business Analytics, Computer Science, Data Science, Mathematics, Economics, Finance or Business Administration or a related field of study o Experience with analytical and statistical software packages such as R, SQL, PowerBI, SAS, SPSS, JMP or similar software ABOUT US: Since 1967 Fastenal has grown as a distributor of industrial and construction supplies from a single branch to a Fortune 500 company with over 3,000 servicing locations, each providing tailored local inventory and personal service for our customers. As we've expanded across the world, we've retained a core belief in people and their ability to accomplish remarkable things - if given the opportunity. From this philosophy stems an entrepreneurial culture that challenges every employee to run their own business, create their own success, and advance to become company leaders. As a growth company with a solid financial position, we are committed to training, promoting from within, and creating opportunities for our employees. If you have an entrepreneurial spirit and are looking to make your mark as part of an elite growth company, you won't find a better fit than Fastenal. PART-TIME BENEFIT: Fastenal offers a 401(k) with an employer contribution. COMPENSATION: The pay range for this position is $16/hr -18/hr.

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About Fastenal

Sourced by ZipRecruiter

Since 1967 Fastenal has grown as a distributor of industrial and construction supplies from a single branch to a Fortune 500 company with over 3,000 servicing locations, each providing tailored local inventory and personal service for our customers. As we've expanded across the world, we've retained a core belief in people and their ability to accomplish remarkable things - if given the opportunity. From this philosophy stems an entrepreneurial culture that challenges every employee to run their own business, create their own success, and advance to become company leaders. As a growth company with a solid financial position, we are committed to training, promoting from within, and creating opportunities for our employees. If you have an entrepreneurial spirit and are looking to make your mark as part of an elite growth company, you won't find a better fit than Fastenal.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Winona, MN, US

Year founded

1967