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Part Time Data Scientist Jobs in Alaska (NOW HIRING)

US Department of the Interior

Biologist

Anchorage, AK · On-site

$101K/yr

Degree in biological sciences, agriculture, natural resource management, chemistry, or related ... data entry, management, summation, and filing management skills; and traveling in small boats and ...

Shannon & Wilson Inc

Lab Manager

Anchorage, AK · On-site

Use and maintain scientific testing equipment. * Process test data using computer software ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

Slrconsulting

Principal Consultant

Anchorage, AK

The candidate provides expert scientific guidance, project leadership, and regulatory ... Data Quality, QA/QC, and Technical Analysis * Experience with environmental compliance, reporting ...

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

Part Time Data Scientist information

See Alaska salary details

$40.4K

$132.2K

$211.6K

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

As of Aug 18, 2026, the average yearly pay for part time data scientist in Alaska is $132,182.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $146,500.00 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 Alaska?

The most popular types of Data Scientist jobs in Alaska are:

What are popular job titles related to Part Time Data Scientist jobs in Alaska?

For Part Time Data Scientist jobs in Alaska, the most frequently searched job titles are:

What job categories do people searching Part Time Data Scientist jobs in Alaska look for?

The top searched job categories for Part Time Data Scientist jobs in Alaska are:

What cities in Alaska are hiring for Part Time Data Scientist jobs?

Cities in Alaska with the most Part Time Data Scientist job openings:

Part Time Data Scientist jobs near you
Infographic showing various Part Time Data Scientist job openings in Alaska as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $132,182 per year, or $63.5 per hour.

Biologist

Internships | Texas A&M University Kingsville

Anchorage, AK • On-site

$101K/yr

Full-time, Part-time

Posted 16 days ago

Job description

This position is located within the Department of the Interior, U.S. Fish and Wildlife Service, Region 7, Marine Mammals Management office, Anchorage, Alaska.
Cost of Living Allowance (COLA) rate of 1.49% is authorized.

Qualifications:All qualifications must be met by the closing date of this announcement - 08/14/2026-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.

To qualify for this position, you must meet the following Basic and Specialized Experience requirements:

Basic Requirement:
A. Degree in biological sciences, agriculture, natural resource management, chemistry, or related disciplines appropriate to the position.. You must submit transcripts.
-OR-
B. Combination of education and experience: Courses equivalent to a major in biological sciences, agriculture, natural resource management, chemistry, or related disciplines appropriate to the position, plus appropriate experience or additional education.
Specialized Experience Requirement:

Possess at least one year of specialized experience equivalent to the GS-11 level in the Federal service (obtained in either the public or private sectors). Specialized experience includes: establishing positive working relationships/partnerships with Indigenous cultures and communities in Alaska; marine mammal harvests or hunting, and/or biology studies; utilizing data entry, management, summation, and filing management skills; and traveling in small boats and/or aircraft to remote communities, and working in challenging and dynamic environmental conditions.

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:You must submit a copy of your transcript(s) to support claimed education. Transcripts must include your name, school name, grades, credit hours earned, major(s), grade point average or class ranking, and date the degree was conferred, if applicable. A typed list of courses, grades, semester/quarter hours, GPA, etc. will not be accepted. Non-submission may result in being rated not qualified for the position. Unofficial transcripts are acceptable, but if you are selected for this position and you used your education to qualify, you must provide official transcripts before you begin work.
Foreign Education: To receive credit for education completed outside the United States, you must show proof that the education has been submitted to a private organization that specializes in interpretation of foreign educational credentials and such education has been deemed at least equivalent to that gained in conventional U.S. education programs. For more information on how foreign education is evaluated, visit: https://www.ed.gov/about/initiatives/international-affairs/recognition-of-foreign-qualificationsEmployment Type: OTHER

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