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

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 ...

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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 ...

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All JobsData Science JobsPart Time Data Science JobsPart Time Data Science Jobs in Seattle, WA

Part Time Data Science information

See Seattle, WA salary details

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$121

How much do part time data science jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for part time data science in Seattle, WA is $50.79, according to ZipRecruiter salary data. Most workers in this role earn between $16.65 and $75.45 per hour, depending on experience, location, and employer.

What do you mean by part?

In a part-time data science role, the position involves working fewer hours than a full-time job, often on a flexible schedule. It typically requires skills in data analysis, programming, and tools like Python or R, and may be suitable for students or professionals seeking additional work experience.

What Are Part-Time Data Science Jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

What is the synonym of part?

In the context of a part-time data science role, the word 'part' is synonymous with 'partial' or 'segment,' indicating a role with fewer hours or responsibilities compared to full-time positions. Such roles often require skills in data analysis, programming, and familiarity with tools like Python or R, and may offer flexible schedules.

What word part means renal pelvis?

In anatomy, the term 'pelvis' refers to the renal pelvis, which is the part of the kidney that collects urine before it moves to the ureter. Understanding anatomical terminology is useful for data scientists working with medical data or developing health-related models. Knowledge of medical terminology can aid in accurate data labeling and analysis.

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, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.
More about Part Time Data Science jobs
What are the most commonly searched types of Data Science jobs in Seattle, WA? The most popular types of Data Science jobs in Seattle, WA are:
What are popular job titles related to Part Time Data Science jobs in Seattle, WA? For Part Time Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Part Time Data Science jobs in Seattle, WA look for? The top searched job categories for Part Time Data Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Part Time Data Science jobs? Cities near Seattle, WA with the most Part Time Data Science job openings:
Part Time Data Science jobs near you

Data Science Intern

iSpot

Bellevue, WA • Hybrid

$35/hr

Full-time, Part-time, Internship

Posted yesterday

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 Science Intern is a great opportunity to help iSpot push the 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, creative testing, and artificial intelligence implementations. 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.

Potential 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:
● Progress toward a degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline.
● Relevant work experience is preferred.
Preferred Skills:
● Technical understanding of machine learning, statistics, data science, and related fields
● Proficient 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
● Pragmatic, team-oriented; builds rapport and respect
● Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $35.00USD/hour

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-Hybrid

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.