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Part Time Data Scientist Jobs in Seattle, WA (NOW HIRING)

Data Scientist

Seattle, WA · On-site

$76K/yr

Mathematics, statistics, computer science, data science or field directly related to the position ... The documentation must indicate whether the duties were performed full time or, if part time, the ...

Distinguished, Data Scientist

Bellevue, WA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Distinguished, Data Scientist

Bellevue, WA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Director- Data Science

Bellevue, WA

$156K - $312K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Director, Data Science

Bellevue, WA · On-site

$156K - $312K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Requirements * Bachelor's degree in Computer Science, Data Engineering, or related field (or ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

Data and AI Engineer (Mid-Level)

Seattle, WA · On-site

$110K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Requirements: * Bachelor's degree in Computer Science, Data Engineering, or related field (or ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

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Showing results 1-20

Part Time Data Scientist information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

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

As of Aug 15, 2026, the average yearly pay for part time data scientist in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 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.

What are the most commonly searched types of Data Scientist jobs in Seattle, WA?

The most popular types of Data Scientist jobs in Seattle, WA are:

What job categories do people searching Part Time Data Scientist jobs in Seattle, WA look for?

The top searched job categories for Part Time Data Scientist jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Part Time Data Scientist jobs?

Cities near Seattle, WA with the most Part Time Data Scientist job openings:

Infographic showing various Part Time Data Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

$76K/yr

Full-time, Part-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

This position is located in the Department of Health and Human Services, Administration for Children and Families, headquartered in Washington, District of Columbia.
This announcement will close at 11:59 PM, on the day that 100 applications have been received or the closing date of the announcement, whichever comes first.Qualifications:WHAT WE ARE LOOKING FOR
Basic Qualifications: You must possess one of the items listed below (A or B):
  • A. 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

  • B. 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.

In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below:
Minimum Qualifications: You must have one year specialized experience to perform successfully the duties of the position. To be creditable, specialized experience must have been equivalent to at least the GS-11 grade level in the Federal service performing ALL of the following:
  • Applying advanced data science and analytics using tools such as Tableau, GIS, Palantir, and enterprise data platforms to support program analysis, performance measurement, and data-driven decision-making.
  • Developing and executing complex analytical models (statistical, mathematical, and computational) using R, Python, and SQL to extract, analyze, and interpret structured and unstructured data, identify trends, and evaluate program effectiveness.
  • Translating technical analyses into actionable insights by producing clear data visualizations, reports, and briefings for senior leadership and stakeholders with varying levels of technical expertise.
  • Providing strategic analytical guidance and collaboration by working with cross-functional teams to define requirements, ensure data integrity and governance, and align analytical products with mission and operational priorities.

Documenting experience: IN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC. WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE. Qualifications are based on breadth/level of experience. In addition to describing duties performed, applicants must provide the exact dates of each period of employment (from MM/YY to MM/YY) and the number of hours worked per week if part time. As qualification determinations cannot be made when resumes do not include the required information, failure to provide this information may result in disqualification. Applicants are encouraged to use the USAJOBS Resume Builder to develop their federal resume.
Do not copy and paste the duties, specialized experience, or occupational application questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.
In accordance with Office of Personnel Management policy, federal employees are assumed to have gained experience by performing duties and responsibilities appropriate for their official series and grade level as described in their position description. Experience that would not normally be part of the employee's position is creditable, however, when documented by satisfactory evidence, such as a signed memorandum from the employee's supervisor or an SF-50 or SF-52 documenting an official detail or other official assignment. The documentation must indicate whether the duties were performed full time or, if part time, the "percentage of times" the other duties were performed. It is expected that this documentation is included in the employee's official personnel record. In order to receive credit for experience in your resume that is not within the official series and grade level of your official position, you must provide a copy of the appropriate documentation of such experience as indicated above.
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; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to gain employment. You will receive credit for all qualifying experience, including volunteer experience. If such experience is on a part-time basis, you must provide the average number of hours worked per week as well as the beginning and ending dates of the experience so it can be fully credited.
OPM Qualification General Policies WebsiteEducation:Foreign Education: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: http://www.ed.gov.
Note: Applications can be accepted from students who expect to complete qualifying education within 9 months from the date of application. Education was completed successfully before the applicant can be appointed.Employment Type: OTHER