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Part Time Data Scientist Jobs in Vermont (NOW HIRING)

Revvity

Sr. Tax Manager (REMOTE)

Montpelier, VT · On-site +1

$134K - $167K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... designed to help scientists, researchers, and clinicians solve the worlds greatest health ... Experience using Excel macros, Power BI, Alteryx and/or similar data analysis/visualization tools ...

All JobsData Scientist JobsPart Time Data Scientist JobsPart Time Data Scientist Jobs in Vermont

Part Time Data Scientist information

See Vermont salary details

$39.9K

$130.5K

$208.9K

How much do part time data scientist jobs pay per year?

As of Aug 13, 2026, the average yearly pay for part time data scientist in Vermont is $130,502.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,700.00 and $144,600.00 per year, depending on experience, location, and employer.

What does a part-time data scientist do?

A part-time data scientist’s skills and responsibilities are very similar to those of a data analyst. Like a data analyst, you have to collect and review company or industry data and then perform an analysis based on a business question the company wants to answer. You share this information with other parts of the enterprise. Where data scientists’ duties are different is that you use past data to build machine learning models. These machine learning models make predictions, and the goal is to identify trends that lead to a more thorough understanding of the business and its customers.

What is a part time data scientist?

A part time data scientist is a professional who applies statistical analysis, machine learning, and data processing skills to extract insights from data, but works fewer hours than a full-time employee—typically under 35 hours per week. Part time data scientists may work for one or more companies, often on flexible schedules or as contractors. Their responsibilities can include data cleaning, building predictive models, and presenting data-driven insights to help organizations make informed decisions. This role is ideal for those seeking work-life balance, students, or professionals looking to supplement their income.

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, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, and data visualization platforms, as well as knowledge of machine learning libraries, is often required. Excellent problem-solving, time management, and communication skills help you effectively deliver insights and collaborate despite reduced hours. These skills ensure you can provide high-impact, actionable analyses efficiently within a limited work schedule.

How does working part-time as a data scientist typically impact project involvement and collaboration with full-time team members?

As a part-time data scientist, you may be assigned to specific projects or tasks that fit within your available hours, often focusing on defined deliverables or analytical support roles. Collaboration with full-time colleagues is common, usually through regular meetings, shared documentation, and communication tools to ensure alignment. It's important to clearly communicate your schedule and capacity, as timely updates and hand-offs help maintain project momentum. While you might not be involved in every stage of a project, your specialized contributions are highly valued, and many organizations foster flexible, inclusive environments to integrate part-time professionals effectively.

What is the difference between Part Time Data Scientist vs Data Analyst?

AspectPart Time Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's degree in Data Analysis, Statistics, or related field
Work EnvironmentFlexible hours, project-based, often remoteOffice or remote, regular hours, structured projects
Employer & Industry UsageTech companies, startups, consulting firmsBusiness, finance, marketing, healthcare
Common Search & ComparisonPart Time Data Scientist vs Data Analyst

Part Time Data Scientists focus on advanced analytics, machine learning, and modeling, often requiring higher technical skills and specialized knowledge. Data Analysts typically handle data cleaning, reporting, and visualization. While both roles analyze data, Part Time Data Scientists work on complex models and predictive analytics, whereas Data Analysts focus on descriptive insights. The choice depends on your skills and career goals within data roles.

More about Part Time Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Vermont? The most popular types of Data Scientist jobs in Vermont are:
What are popular job titles related to Part Time Data Scientist jobs in Vermont? For Part Time Data Scientist jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Part Time Data Scientist jobs in Vermont look for? The top searched job categories for Part Time Data Scientist jobs in Vermont are:
Part Time Data Scientist jobs near you
Infographic showing various Part Time Data Scientist job openings in Vermont as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $130,502 per year, or $62.7 per hour.

Physical Science Technician

Internships | Texas A&M University Kingsville

Essex Junction, VT

$57K/yr

Full-time, Part-time

Posted 6 days ago

Job description

You will serve as a Physical Science Technician with the Department of the Interior, U.S. Fish and Wildlife Service, Region 5, Lake Champlain Fish & Wildlife Conservation Office, located in Essex Junction, VT.

GS-08 - $57,023 - $74,127

Qualifications:All qualifications must be met by the closing date of this announcement - 08/20/2026-unless otherwise stated in this vacancy announcement. Competitive candidates must also meet Time-in-Grade requirements as defined in 5 CFR 300, Subpart F.
For current Federal employees, if hours worked per week are not included on your resume, you must submit a non-award SF-50 as part of your application to be used to validate your work schedule and determine the amount of specialized experience that you will be granted. An award SF-50 will not be acceptable documentation for which to consider your amount of qualifying experience. For periods of time that reflect military service, the DD-214 or Statement of Service is sufficient to meet the work schedule requirement as the service dates will be reflected. For all other applicants who are not current federal employees, your resume must state either "full-time" (or "40 hours a week") or "part-time" with the number of hours worked per week to ensure proper crediting of specialized experience.

Minimum Qualification Requirements: To qualify for this position, you must meet the following minimum qualifications:
To qualify for this position at the GS-08 grade level:
Experience: To qualify, you must possess at least one full year of specialized experience equivalent to the GS-07 level in the Federal service (obtained in either the public or private sectors). Specialized experience is defined as demonstrated experience: (1) performing technical support in a team setting and leading others in dynamic field efforts to control aquatic invasive species (i.e. sea lampreys) through the use of aquatic pesticides (i.e. lampricides); (2) performing collection of primary field data for pesticide applications; (3) identifying and setting up complex equipment used at application sites; (4) measuring and documenting chemical and physical parameters of a stream throughout the duration of pesticide applications; and (5) calculating, monitoring, and adjusting proper concentrations of applied pesticides. You must include hours per week worked.


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:This position does not allow substituting education for experience.Employment Type: OTHER

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