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

IQVIA

MedTech

Seattle, WA · On-site

$36 - $38/hr

We believe in pushing the boundaries of human science and data science to make the biggest impact ... part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of ...

Labcorp

Part- Time Phlebotomist

Bellevue, WA

$22.30 - $27.69/hr

Through our unparalleled science, data, technology and laboratory network, we advance diagnostics ... Part-time Phlebotomist - PAML Labcorp is a global leader in diagnostic testing and drug development ...

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

Part Time Data Science information

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 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
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What are popular job titles related to Part Time Data Science jobs in Redmond, WA? For Part Time Data Science jobs in Redmond, WA, the most frequently searched job titles are:
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What cities near Redmond, WA are hiring for Part Time Data Science jobs? Cities near Redmond, WA with the most Part Time Data Science job openings:
Part Time Data Science jobs near you
Infographic showing various Part Time Data Science job openings in Redmond, WA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Part-Time Lecturer - MGEN (Seattle)

Northeastern University

Seattle, WA • On-site

$2.6K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday

Job description

About the Opportunity
About the Opportunity
The Multidisciplinary Graduate Engineering (MGEN) unit, within the College of Engineering, invites applications for the Adjunct Faculty position for teaching selected graduate courses for the multidisciplinary masters degree programs in Seattle, Washington.
The MGEN unit seeks to produce more effective software engineers who are substantially more capable than ever of addressing the needs of digital society in terms of time, cost, and quality. The unit will accomplish this by revolutionizing the way software is designed and evolved overtime, and believe software is a systems engineering challenge rather than a coding problem. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary
Responsibilities:
Teach selected graduate courses within the multidisciplinary masters degree programs. See website for details of programs: http://www.coe.neu.edu/graduate-school/multidisciplinary
Responsibilities include preparation of lectures, course materials, examinations, and evaluation of student performance in the course.
The multidisciplinary masters suite of degree programs in Seattle include:
MS in Information Systems focuses on the intersection of cutting-edge technology and business complexity with an emphasis on the art and science of designing intricate software applications especially in the areas of healthcare, security and privacy, auditing and compliance, business improvement and intelligence, as well as financial accountability. Courses include application engineering and development, engineering big-data systems, and engineering secure software systems.
MS in Information Systems Bridge is focused for students with non-STEM, non-technical bachelor's degrees that are the knowledge link between business users and technologists by understanding the complexities of both. Students' undergraduate work in the humanities provides them with a unique perspective and approach in developing systems via a socio-technical lens. Students take courses specifically designed to bridge their current professional pursuits with the background and industry knowledge needed to advance in the IT sector. As industries launch into a digitized future, professionals with a clear understanding of how technology can be used to address large societal challenges are in demand.
The MS in Data Architecture and Management is designed to prepare students for this evolving and growing field, by providing students the holistic knowledge and technical skills to engineer big data systems, curate data, and integrate and process data so that data scientists and business analysts can access and interpret data in context to provide meaningful results to management.
Qualifications:
M.S. or Ph.D. in relevant engineering discipline is required; some professional and/or teaching experience preferred. Must have strong, effective verbal skills to communicate well with students.
Position Type
Academic
Additional Information
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate is $2,625

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