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

iSpot

Research Data Scientist 1

Bellevue, WA · Remote

$95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

iSpot

Research Data Scientist 1

Bellevue, WA · On-site

$95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

iSpot

Data Science Intern

Bellevue, WA · On-site

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

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 ...

Lancesoft

6B1BI4-Design and Analysis Engineer 4

Everett, WA · On-site

$76.66 - $87.62/hr

... Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry. ( Electrical ... E. FT, PT, On-Call): FT Shift Expectations (First, Second, Third): 1st Start Time: 7 am End Time: 4 ...

DigiPen

Adjunct Professor in Computer Science

Redmond, WA · On-site

$6.0K - $12K/mo

Topics include creation and usage of spatial data structures, object-culling strategies, geometry ... All Adjunct positions are part-time, temporary assignments (for no more than one semester at a time ...

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All JobsPart Time Data Scientist JobsPart Time Data Scientist Jobs in Bothell, WA

Part Time Data Scientist information

See Bothell, WA salary details

$41.9K

$137.2K

$219.7K

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

As of Jun 18, 2026, the average yearly pay for part time data scientist in Bothell, WA is $137,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $152,000.00 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 Bothell, WA? The most popular types of Data Scientist jobs in Bothell, WA are:
What job categories do people searching Part Time Data Scientist jobs in Bothell, WA look for? The top searched job categories for Part Time Data Scientist jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Part Time Data Scientist jobs? Cities near Bothell, WA 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 Bothell, WA as of June 2026, with employment types broken down into 100% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $137,208 per year, or $66 per hour.

Research Data Scientist 1

iSpot

Bellevue, WA • Remote

$95K - $106K/yr

Full-time, Part-time

Posted 12 days ago

Job description

Immigration / Work Authorization Notice: Applicants must be currently authorized to work in the United States. iSpot is not able to sponsor or take over sponsorship of an employment visa for this position at this time.

iSpot competes for the best talent. Our compensation packages consist of salary and equity in one of Seattle's hottest start-ups, as well as other standard benefits. Most importantly, we provide a really interesting working experience, and the chance to contribute to the success of something great.

What You'll Be Part Of:

An iSpot Research Data Scientist is a key contributor to the future growth of the company, pushing boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, and creative testing. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Responsibilities:

  • Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
  • Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
  • Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
  • Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.

Qualifications and Education Requirements:

  • Degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline. A master's degree is preferred but not required.
  • 1-3 years of professional experience in data science and/or modeling

Preferred Skills:

  • Technical understanding of machine learning, statistics, data science, and related fields
  • Advanced user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
  • Expert at wrangling data and conducting thorough data analyses
  • Experience working with high dimensional data sets
  • Pragmatic, team-oriented; builds rapport and respect
  • Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $95,950 - $106,000 USD Annually

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency.

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Remote

If you don't feel you met every single requirement for the role, don't rule yourself out. Please apply anyway!

iSpot is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, ethnicity, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please contact our HR team.

California Residents applying for positions at iSpot can access our California Consumer Privacy Act here.