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Part Time Data Scientist Jobs in Vermont (NOW HIRING)

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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 Sep 4, 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 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 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 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, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $130,502 per year, or $62.7 per hour.

Supervisory Data Scientist

Career Opportunities | USCIS

South Burlington, VT • On-site

$107K/yr

Full-time, Part-time

Posted 3 days ago

New

Job description

Protect your homeland and defend your culture. Join USCIS, America's frontline defense against illegal foreign infiltration and fraud.
As a Supervisory Data Scientist, you will oversee and support USCIS HRIT initiatives by managing advanced data science projects, coordinating business systems, ensuring high-quality reporting and analytics, and providing strategic and operational support to HRIT Leadership.Qualifications:The qualifications for this position must be met by 11:59 PM (Eastern Time) on 09/08/2026.
Time in Grade does not apply to Delegated Examining Announcements, any reference to Time in Grade in the questionnaire will not apply to the rating and ranking of applicants.
Basic Requirements: All applicants must meet the following basic requirements: (Must be supported in Transcripts from an accredited institution, Resume and/or Applicable Certificate)
  • Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. OR
  • Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience.
GS-14: You qualify at the GS-14 level if you possess one (1) year of specialized experience, which is equivalent to at least the GS-13 level in the federal government, that equipped you with the skills needed to successfully perform the duties of the position. You must have experience performing the majority of the following duties:
  • Applying data science, computer science, mathematics, and statistical methods to conduct complex analysis, support algorithm development, validate data sources, and develop business or technical recommendations.
  • Utilizing statistical tools, data platforms such as SAS, R, Python, SQL, Databricks, and similar technologies to query, transform, analyze, and report data from multiple sources.
  • Developing, evaluating, and improving data collection, and processing methodologies to support data integrity, analytical accuracy, and operational decision-making.
  • Managing data analytics, data architecture, dashboard, reporting, automation, or business process improvement initiatives that support organizational priorities, policy development, or strategic objectives.
  • Leading, supervising, or guiding staff or project teams performing data analysis, visualization, engineering, reporting, predictive modeling, or related data technology functions.
Please read the following important information to ensure you submit everything we need to consider your application: It is your responsibility to ensure that you submit your responses and appropriate documentation prior to 09/08/2026. You must upload your resume under the "Resume" category. Resumes submitted under the "Other Documents" category will not be considered. Your most recently submitted resume will be used to determine your qualifications for the position advertised in this announcement. Therefore, your resume must highlight your most relevant, significant experience related to the requirements found in the qualification section of this announcement, as well as any applicable education. Limit your resume to no more than two pages. The USAJOBS database will not allow an applicant to submit an application that includes a resume over two pages. To help ensure your resume remains clear and easy to read, we recommend using margins of at least 0.8 inches and a font size of at least 11 point. Be clear and specific when describing your work history since human resources cannot make assumptions regarding your experience. Your application will be rated and ranked based on your responses to the online questions.

Please ensure EACH work history includes ALL of the following information:
  • Job Title (include series and grade if Federal Job)
  • Duties (be specific in describing your duties)
  • Employer's name and address
  • Supervisor name and phone number
  • Start and end dates including month, day and year (e.g. June 18 2007 to April 05 2008)
  • Start and end dates for each grade/pay level if you've held a federal position.
  • Full-time or part-time status (include hours worked per week)
  • Salary
Determining length of General or Specialized Experience is dependent on the above information and failure to provide the above information may result in a finding of ineligible.
Note: Overstating your qualifications and/or experience in your application materials or application questionnaire may result in your removal from consideration.
Federal Experience: If you are using current or prior federal experience as a basis for qualifying for this position, the grade levels and length of employment (mm/dd/year) at each grade level must be listed in your work history. This information will be further validated if selected for this position.
National Service Experience (i.e., 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:EDUCATIONAL SUBSTITUTION: There is no educational substitution at this grade level.
Basic Education Requirement: You must submit a copy of your college transcript(s) (unofficial is acceptable) to support the basic educational requirement or a list of coursework with hours completed. For verification purposes, the transcript submitted must include your name and educational institution.
Voluntary Separation Incentive Payment (VSIP): Per 5 CFR 576.202, An employee who receives a Voluntary Separation Incentive Payment (VSIP) and later accepts employment for compensation with the Government of the United States within 5 years of the date of the separation on which the VSIP is based, including work under a personal services contract or other direct contract, must repay the entire amount of the VSIP to the agency that paid it (proof of payment is required) before the individual's first day of reemployment.Employment Type: OTHER

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