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Part Time Data Science Jobs in Bozeman, MT (NOW HIRING)

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Part Time Data Science information

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$9

$48

$115

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

As of Jul 28, 2026, the average hourly pay for part time data science in Bozeman, MT is $48.15, according to ZipRecruiter salary data. Most workers in this role earn between $15.78 and $71.52 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.
More about Part Time Data Science jobs
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What are popular job titles related to Part Time Data Science jobs in Bozeman, MT? For Part Time Data Science jobs in Bozeman, MT, the most frequently searched job titles are:
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Part Time Data Science jobs near you
Infographic showing various Part Time Data Science job openings in Bozeman, MT as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $100,151 per year, or $48.1 per hour.
Analytics Instructors for the Jake Jabs College of Business & Entrepreneurship Non-Tenure Track Facu

Analytics Instructors for the Jake Jabs College of Business & Entrepreneurship Non-Tenure Track Facu

Montana State University

Bozeman, MT • On-site

Full-time, Part-time

Posted 6 days ago

Montana State University rating

7.1

Company rating: 7.1 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

409th of 612 rated colleges and universities

Job description

Position Details
Position Information
Announcement Number
FAC - VA - 26123
For questions regarding this position, please contact:
Andreas Thorsen406-994-6196
andreas.thorsen@montana.edu
Classification Title
Instructor
Working Title
Analytics Instructors for the Jake Jabs College of Business & Entrepreneurship Non-Tenure Track Faculty (Applicant Pool)
Brief Position Overview
The Jake Jabs College of Business and Entrepreneurship offers a Bachelor of Science in Business, with required and elective analytics courses throughout the curriculum for all concentrations (management, marketing, finance, accounting, and hospitality management). Analytics courses are also taught in the M.S. in Innovation and Management graduate program. Primarily, we are seeking experienced analytics professionals capable of teaching a variety of established analytics courses within our curriculum, which includes business analytics, data analytics I and II, operations management, applied data science, and operations and supply chain management. Additionally, we are interested in candidates capable of developing analytics coursework in contemporary and industry-relevant areas in our concentrations.
Faculty Tenure Track
No
Faculty Rank
Non-Tenure Track
Position Number
4A6471
Department
Jabs College of Business Instruct
Division
College of Business
Appointment Type
Non-Tenure Track (Pooled)
Contract Term
Other
Semester
Fall or Spring
If other, specify From date
If other, specify End date
Union Affiliation
Contact HR for Determination
FTE
Varies
Benefits Eligible
Depends on FTE (please contact Human Resources - 406-994-3651)
Salary
Salary commensurate with experience, education, and qualifications
Contract Type
LOA
If other, please specify
Recruitment Type
Open
Position Details
General Statement
Montana State University invites experienced analytics professionals to the Jake Jabs College of Business and Entrepreneurship faculty as Instructors, delivering high-quality instruction at the undergraduate and graduate levels. We seek dedicated professionals who are passionate about teaching and mentoring students, possess strong interpersonal and communication skills, and can collaborate effectively with faculty and staff. The ideal candidate will contribute to student success and academic excellence while supporting the mission of Montana State University through engaging, real-world marketing education. Instructional assignments are contingent upon departmental needs and the availability of funding.
Applications are accepted on a continual basis (unless otherwise indicated) and will be maintained in the pool for up to two years. After two years, candidates will be notified to resubmit their application materials for continued consideration.
Application materials will be reviewed by the appropriate search committee or hiring authority, and applicants will be notified if they are being considered for an open position.
Non-tenure-track appointments may be part-time or full-time and vary in duration depending on the specific needs of the department or program. Salary is dependent on the number of courses taught and the duration of the appointment.
Duties and Responsibilities
  • Teach undergraduate and/or graduate analytics courses in on-campus and/or online formats, ensuring high-quality, engaging instruction.
  • Incorporate real-world applications and experiential learning to enhance student understanding of data and business analytics concepts.
  • Stay current with industry trends, professional standards, and advancements in analytics education to maintain course relevance.
  • Foster a welcoming and supportive learning environment.

Required Qualifications - Experience, Education, Knowledge & Skills
  1. Master's degree in a computational field related to business analytics (e.g., M.S. in Business Analytics, Information Systems, Data Science, Statistics, Operations Research, Industrial Engineering) from an accredited institution, OR a Master's degree from an accredited institution, plus a minimum of 5 years of significant analytics work experience in the field.

Preferred Qualifications - Experience, Education, Knowledge & Skills
  1. Demonstrated ability to teach undergraduate and/or graduate courses in analytics, and demonstrated ability to bring current, real-world case studies into the classroom.
  2. Proven track record of applying analytics in complex sectors such as supply chain, healthcare, finance, or marketing technology.
  3. A strong ability to present technical insights to non-technical stakeholders
  4. Strong technical knowledge of data analytics software and tools (e.g., spreadsheets, SQL, and visualization software).
  5. Ph.D. in a computational area related to business analytics.

The Successful Candidate Will
  • Be committed to experiential learning, incorporating real-world applications, case studies, and industry partnerships into teaching.
  • Be committed to supporting, mentoring, and inspiring students from all backgrounds.
  • Be committed to utilizing effective pedagogy that involves students in the learning process.
  • Have the ability to work well with faculty, staff, and students in a dynamic environment.

Position Special Requirements/Additional Information
The position for which you have applied MAY BE a Union position. Union affiliation is determined by job duties and the collective bargaining unit.
  • Non-Tenure Track Faculty - Any position that is .5 FTE or more is represented by the Associated Faculty of Montana State University (AFMSU). Faculty covered by AFMSU may choose to pay membership dues. This is a condition of employment. Additional information can be found at AFMSU or by emailing AFSMU
    • Any position less than .5 FTE is not represented by the Union and is not required to pay dues.
    • If the FTE changes during employment, the representational status of this position could be impacted.
    • Exceptions: Anyone having successfully completed a PEI exam or any faculty working in Extension are exempt from the Union.

This job description should not be construed as an exhaustive statement of duties, responsibilities or requirements, but a general description of the job. Nothing contained herein restricts Montana State University's rights to assign or reassign duties and responsibilities to this job at any time.
Physical Demands
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily with or without reasonable accommodations. The requirements listed above are representative of the knowledge, skill, and/or ability required.
The Program
The Department
The College
Montana State University is located in Bozeman, MT, an area renowned for its natural beauty and environmental richness. The area offers exceptional school systems, access to art and music, and a myriad of outdoor activities. Montana State University is a Carnegie R1-designated university, hosting scholars from around the world, and the Jake Jabs College of Business & Entrepreneurship is experiencing sustained and unprecedented growth. We are dedicated to providing outstanding education for our students and to supporting the scholarship efforts of our faculty. Our College of Business is AACSB-accredited.
Posting Detail Information
Number of Vacancies
Multiple Positions
Desired Start Date
Review of applications will be on a continual basis and will continue until the position(s) are filled.
Position End Date (if temporary)
Open Date
Close Date
Applications will be:
Applications will be accepted and screened for the duration of this pool.
Special Instructions
Documents required:
  1. A letter of application that includes (1) why you are interested in teaching in the Marketing & Analytics option in the Jake Jabs College of Business & Entrepreneurship, and (2) what classes/analytics topics you are most qualified to teach.
  2. A copy of the graduate-level academic transcript (unofficial transcripts acceptable at the time of application; official transcripts required upon hire).
  3. A curriculum vitae or professional resume, and
  4. A list of the three current academic or professional references (please list in the Professional References section of the online application).

This position is not eligible for NEW sponsorship.
Review of applications will be on a continual basis and will continue until the position(s) are filled. Applicants are retained in the hiring pool for up to two years.
EEO Statement
Montana State University is an equal opportunity employer. MSU does not discriminate against any applicant on the basis of race, color, religion, creed, political ideas, sex, sexual orientation, gender identity or expression, age, marital status, national origin, physical or mental disability, or any other protected class status in violation of any applicable law.
In compliance with the Montana Veteran's Employment Preference Act, MSU provides preference in employment to veterans, disabled veterans, and certain eligible relatives of veterans. To claim veteran's preference, please complete the veteran's preference information located in the Demographics section of your profile.

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