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

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

As of Sep 5, 2026, the average hourly pay for part time data science in Bellevue, WA is $50.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.49 and $74.73 per hour, depending on experience, location, and employer.

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.

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 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.

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.
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What are the most commonly searched types of Data Science jobs in Bellevue, WA?

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What cities near Bellevue, WA are hiring for Part Time Data Science jobs?

Cities near Bellevue, 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 Bellevue, WA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $104,636 per year, or $50.3 per hour.

Instructional Assistant (Part-Time), Professional and Continuing Education - Specialization in GIS S

University of Washington

Seattle, WA • On-site

$25 - $35/hr

Part-time, Temporary

Posted 16 days ago

University Of Washington School Of Medicine rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

82nd of 630 rated colleges and universities

Job description

Description
UW Continuum College expands the reach of the University of Washington by delivering educational programs that meet the needs of learners at all phases of their lives. We're focused on removing obstacles to relevant educational opportunities by addressing geographic, financial, length of commitment, and time constraints, increasing access to knowledge for more people. By looking ahead and experimenting with new approaches, we're creating new educational opportunities to help people thrive in a world of change.
UW Continuum College (UWC2) has an outstanding opportunity for a part-time instructional assistant in Professional & Continuing Education (PCE), GIS Spatial Analysis with Python & R non-credit Specialization. Instructional assistants serve in a key role in Certificate programs, engaging with students, collaborating with the instructor, grading student work, and monitoring student progress.
The pay range for this position is $25-35 per hour, commensurate with experience and qualifications. Length of assignments and shifts vary depending on specific staffing needs of individual courses and programs.
Professional and Continuing Education Instructional Assistants...
  • Support instructor in facilitating remote class sessions, if relevant (e.g., helping to manage Zoom).
  • Serve as the primary responder to student inquiries such as content questions, assignment questions, policies, etc. Use discretion on when to escalate questions to the instructor or the appropriate administrative staff. Timely response is 24 hours for email and discussion board posts and 72 hours to grade assignments.
  • Monitor student engagement with the online course materials and with peers, including online discussion forums.
  • Check in with students as needed to support their progress in the course.
  • Coordinate with the course instructor to ensure curriculum continuity.
  • Provide grading support as directed by the instructor.
  • Collaborate with program manager, instructor, and the rest of the instructional team to address student course evaluation feedback.
  • Work collaboratively with the course instructor, adapting an approach based on feedback and sound pedagogical practices.
  • Maintain high standards of professionalism, timeliness, and content relevance for adult students from different backgrounds.
  • Complete instructor onboarding process and relevant learning technology training.
  • Observe FERPA, HIPAA, and other privacy laws and policies.

PCE Specializations are generally 12 weeks in duration and align with the UW academic quarter calendar. PCE offers courses in a variety of formats - see the course webpage to find out about the format. Information on this PCE Specialization may be found at https://www.pce.uw.edu/specializations/gis-spatial-analysis-with-python-r.
UWC2 Extension Lecturers / Instructional Assistants are Academic Staff, not faculty. These are part-time, temporary positions.
Qualifications
MINIMUM QUALIFICATIONS
  • Bachelor's degree in GIS, geography, environmental science, data science, or a related field.
  • Minimum one year professional experience applying GIS in a work setting (public sector, environmental science, conservation, or similar industry context matching the target audience).
  • Working proficiency in both Python and R for spatial analysis, including hands-on experience with ArcPy and core open-source spatial libraries (e.g., GeoPandas, Shapely for Python; sf, terra for R).
  • Experience with Esri ArcGIS Pro and ArcGIS Online, including using Python within the ArcGIS environment for geoprocessing and automation.
  • Experience troubleshooting Python/R environment and package setup issues (e.g. conda environments, RStudio, ArcGIS's bundled Python install, Positron).
  • Comfort supporting or co-facilitating live, synchronous instruction for adult professional learners over Zoom - including monitoring breakout rooms, debugging student code live, and pacing support during guided labs.
  • Excellent interpersonal, oral, and written communication skills.
  • Ability and desire to successfully work with individuals from various cultural and socioeconomic backgrounds.
  • Legal authorization to work and receive compensation in the United States. These positions are not eligible for visa sponsorship.

DESIRED QUALIFICATIONS
  • Familiarity with the R-ArcGIS Bridge (arcgisbinding) and/or the ArcGIS API for Python and Esri's spatially enabled dataframes.
  • Exposure to raster and statistical spatial modeling workflows (e.g., Rasterio, GDAL, Xarray) or suitability/prediction modeling applications.
  • Familiarity with statistical and machine learning libraries in both Python and R (e.g., scikit-learn, statsmodels in Python; caret, tidymodels, or randomForest in R).
  • Prior teaching or mentoring experience, particularly with adult learners.
  • Prior experience with online learning.

Application Instructions
To apply to be an instructional assistant for the PCE, Specialization in GIS Spatial Analysis with Python & R, please submit the following:
  • A cover letter describing your areas of interest and expertise in Esri ArcGIS Applications and associated spatial analysis and modeling. Applications that do not contain this information, called out clearly at the top of the cover letter, will not be considered.
  • Resume or CV
  • Names and contact information of three references. [optional]

Applications are accepted on an ongoing basis and review of applications will occur intermittently dependent on program needs. Applications received by August 30, 2026, will receive priority consideration.

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