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Part Time Data Science Analytics Jobs in Seattle, WA

Research Data Scientist 1

Bellevue, WA ยท Remote

$95.95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to ...

Research Data Scientist 1

Bellevue, WA ยท On-site

$95.95K - $106K/yr

The Research Data Science team builds innovative solutions for iSpot's audience measures ... Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to ...

This Opportunity The analytics Rapid Response Team (RRT) sits within Truveta's broader Partner ... Collaborate with life science, academic research organizations, and health system partners to ...

Data Engineer

Seattle, WA ยท On-site

$90K - $120K/yr

... for analytics and reporting. Requirements: * Bachelor's degree in Computer Science, Data ... prorated for part-time employment) * Sick leave accrues based on state requirements * 9 paid ...

6B1BI4-Design and Analysis Engineer 4

Everett, WA ยท 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 ...

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Showing results 1-20

Part Time Data Science Analytics information

See Seattle, WA salary details

$42.7K

$139.7K

$223.6K

How much do part time data science analytics jobs pay per year?

As of May 28, 2026, the average yearly pay for part time data science analytics 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 are the most commonly searched types of Data Science Analytics jobs in Seattle, WA? The most popular types of Data Science Analytics jobs in Seattle, WA are:
What are popular job titles related to Part Time Data Science Analytics jobs in Seattle, WA? For Part Time Data Science Analytics jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science Analytics jobs in Seattle, WA look for? The top searched job categories for Part Time Data Science Analytics jobs in Seattle, WA are:
Infographic showing various Part Time Data Science Analytics job openings in Seattle, WA as of May 2026, with employment types broken down into 66% Full Time, 31% Part Time, and 3% Temporary. Highlights an 90% In-person, 3% Hybrid, and 7% Remote job distribution, with an average salary of $139,680 per year, or $67.2 per hour.

Research Data Scientist 1

iSpot

Bellevue, WA โ€ข Remote

$95.95K - $106K/yr

Full-time, Part-time

Posted 21 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.