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Part Time Amazon Data Science Jobs in Portland, OR

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Part Time Amazon Data Science information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

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

As of May 28, 2026, the average yearly pay for part time amazon data science in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Amazon Data Scientist, and why are they important?

To thrive as a Part Time Amazon Data Scientist, you need a solid background in statistics, data analysis, and programming (often with Python or R), supported by at least a bachelor’s degree in a quantitative field. Familiarity with big data tools (like AWS, SQL, or Spark), machine learning libraries, and data visualization platforms is typically required. Strong problem-solving, communication, and time management skills help you deliver insights and collaborate effectively within teams. These competencies are crucial for generating actionable business recommendations and managing data-driven projects efficiently, even within limited hours.

How does a part-time Amazon data science role typically balance independent work with team collaboration?

In a part-time Amazon data science position, you'll often manage independent analysis tasks, such as building models or preparing datasets, on your own schedule. However, regular collaboration with full-time team members is essential, particularly for aligning on project goals, sharing progress, and integrating your work into larger solutions. Team meetings and code reviews are common touchpoints, and you may also participate in cross-functional discussions with product managers or engineers. Flexibility and strong communication skills help ensure your contributions are effectively integrated despite the part-time nature of the role.

What are part time Amazon data science jobs?

Part time Amazon data science jobs are positions at Amazon where professionals work fewer hours than a typical full-time role, focusing on analyzing and interpreting complex data to help the company make informed business decisions. These roles may involve tasks such as data analysis, predictive modeling, and creating dashboards, but on a flexible or reduced schedule. Part time positions can be suitable for students, parents, or those seeking work-life balance, and often require skills in programming, statistics, and data visualization. While less common than full-time roles, part time opportunities may be available in various Amazon teams, either on-site or remotely.

What is the difference between Part Time Amazon Data Science vs Part Time Amazon Data Engineering?

AspectPart Time Amazon Data SciencePart Time Amazon Data Engineering
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learning and analytics toolsDegree in Computer Science, Software Engineering, or related; experience with data pipelines and cloud platforms
Work EnvironmentAnalyzing data, building models, and deriving insightsBuilding and maintaining data infrastructure, ETL processes
Employer & Industry UsageUsed across Amazon for product recommendations, customer insightsUsed for data infrastructure, ensuring data flow for analytics

Part Time Amazon Data Science focuses on analyzing data and developing models to inform business decisions, while Part Time Amazon Data Engineering emphasizes building and maintaining data pipelines and infrastructure. Both roles require technical skills but serve different functions within Amazon's data ecosystem.

What are the most commonly searched types of Amazon Data Science jobs in Portland, OR? The most popular types of Amazon Data Science jobs in Portland, OR are:
What are popular job titles related to Part Time Amazon Data Science jobs in Portland, OR? For Part Time Amazon Data Science jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Part Time Amazon Data Science jobs in Portland, OR look for? The top searched job categories for Part Time Amazon Data Science jobs in Portland, OR are:
Instructor - Computer Science (Part-Time)

Instructor - Computer Science (Part-Time)

Mt. Hood Community College

Gresham, OR • On-site

Part-time

Posted 7 days ago


Job description

Salary: See Position Description
Location : Gresham Campus, OR
Job Type: Part-time Faculty and Tutor
Job Number: 2023-2000136
Division: Instruction
Department: Engineering, Applied Technologies, Business and CIS
Opening Date: 08/14/2024
Job Summary and Responsibilities/Duties
Job SummaryProvides high quality instruction in computer science so that each student may meet learning outcomes. Works with the dean and colleagues to improve student learning experiences. Primarily teaches courses related to non-major introduction to computer science, C++ object oriented programming, C++ data structures, discrete structures, and computer architecture/assembly language, but may be assigned other instructional responsibilities as determined by the dean.
Essential Duties
  1. Teaches a range of community college computer science courses including, but not limited to, object oriented programming, data structures, discrete structures, C++, and computer architecture.
  2. Creates a learning environment for students inclusive of diverse cultural, social, economic and educational backgrounds.
  3. Collaborates with faculty and staff from other departments and divisions to promote communication, coordinate programs, and support student success.
  4. Prepares clear learning outcomes for each course and inform students of learning outcomes in a course syllabus.
  5. Participates in college service and activities outside direct instruction, such as registration, curriculum development, advising, strategic planning, and educational assessment.
  6. Assists in outreach activities and support student recruitment, placement, and retention.
  7. Helps advance the role and goals of a comprehensive community college.
  8. Posts and keeps office hours to be available to students for assistance outside the classroom.
  9. Teaches at least one evening section per year as needed.
  10. Keeps professionally current by participating in professional development and other activities; maintains current credentials or licensures as required by program or accreditation.
  11. Maintains active liaison with high schools, universities, business and industry or external agencies and assist the dean with program advisory committees as appropriate.
  12. Completes instructional duties, reports, and paper work assigned by the dean in a timely manner.
  13. Attends division, department, and committee meetings and in-service programs.
  14. Incorporates, as pedagogically appropriate, current technology in classroom, distance learning, laboratory and office environments.
  15. Maintains and emphasizes safe working conditions and practices.
  16. Complies with all Board policies and administrative regulations.

Additional Duties
Performs all other duties as assigned
Minimum and Desired Qualifications
Education: Master's degree in computer science or software engineering or 24 graduate credit hours in the subject area
Desired Qualifications
  • Minimum (2) years of work experience in programming or software engineering
  • Prior experience teaching at the college level

Additional Qualifications and/or Knowledge, Skills and Abilities (KSAs)
Knowledge, Skills and Abilities
  • Ability to teach online courses and utilize necessary technology
  • Ability to manage and engage students from diverse backgrounds and skill levels in the classroom, laboratory, and field environment
  • Ability to manage student outcomes related to all classes taught
  • Ability to teach courses in accordance with college catalog, schedule of classes, course outlines, course syllabi, and any departmental guidelines
  • Knowledge of appropriate teaching methods and documentation

Working Conditions and Important Information
Working Conditions
Work is typically performed in an indoor classroom or office environment.
Salary Placement
Initial salary placement for Instructional Load Credit (ILC) Instructors will be based on applicable education and/or years of relevant full-time equivalent experience at the sole discretion of the College, per the guidelines in the Collective Bargaining Agreement and in accordance with all applicable state and federal laws. Initial salary placement for all other newly hired instructors will be at Level 1.
Please include all relevant education and full and part-time experience (including unpaid and volunteer experience) in your application that you want the College to review towards potential placement. Hired employees will not have an opportunity to update past education and/or experience or appeal initial placement after the time of hire.
Part-time Instructors may teach classes within a variety of programs, including credit-based, Community Education, and ABE, GED, and ESL programs. There is no guaranteed minimum teaching load or hours worked.
Credit-based classes: Part-time Instructors for credit-based classes are paid per instructional load credit (ILC) according to the salary schedule below. Salary level will be based on educational level and total accumulated ILCs as part-time instructors at the College;initial placement will not exceed Level 2.
LevelAccumulated ILCs$ Per Term Per ILC10 - 44.9$944.15245 - 89.9$986.65390 - 134.9$1031.054135 - 179.9$1077.455180 - 224.9$1125.946225 - 269.9$1176.67270 - 314.9$1229.568315 - 359.9$1284.99360 - 404.9$1342.7210405 - 449.9$1403.1311450 - 494.9$1532.2512495 or more$1601.20
Community Education: Part-time Instructors for Community Education classes and represented by the Part-Time Faculty and Tutor Association (PFTA) are paid based on accumulated work hours according to the salary schedule below;all new employees will start at level 1.
Level*Accumulated Work HoursLecture/DemonstrationLecture/Discussion10 - 1000$41.94$50.8421001 - 2000$43.86$53.1332001 or more$45.81$55.51
ABE, GED, and ESL programs: Part-time Instructors for ABE, GED, and ESL programs classes are paid based on accumulated work hours according to the salary schedule below; all new employees will start at level 1.
Level*Accumulated Work HoursABE, GED, ESL Instructors10 - 1000$85.8721001 - 2000$90.7232001 - 3000$94.7743001 - 4000$99.0554001 - 5000$103.4865001 - 6000$108.1376001 - 7000$112.9987001 - 8000$118.0898001 - 9000$123.4109001 - 10000$128.951110001 - 11000$134.751211001 or more$140.811312001 or more$147.15
Sick Leave
New hires will receive eight (8) hours of sick leave upon hire. An ILC instructor will receive one hour per term of paid sick leave per ILC, which includes Special Loading. An hourly instructor or tutor will receive one hour of paid sick leave per 11 hours of employment. Unused sick leave will accumulate up to a maximum of 80 hours and be available for use in subsequent academic terms.
Tuition Waiver Plan
Each employee will be eligible for a full tuition waiver, which is equivalent to 24 credits, for each term in which the employee is working for the College. Such waiver may be used for tuition for credit courses or the fee in lieu of tuition for noncredit courses (commonly called Fee B). Such tuition waivers are not cumulative. However, an employee may use a tuition waiver in the term immediately following the term in which the waiver was earned. Employees and their spouses/domestic partners will pay only course-specific fees. Tuition waiver(s) may be assigned by the employee to his/her immediate family (to one or amongst the family) to be used in the term in which the waiver is earned by the employee or the term immediately following the term in which the waiver was earned.
01
Do you have a Master's degree (or higher) in computer science or software engineering or 24 graduate credit hours in the subject area?
  • Yes
  • No

Required Question