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Part Time Amazon Data Science Jobs (NOW HIRING)

Harley-Davidson

Mgr Data Science

Milwaukee, WI

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Join our team as a Mgr Data Science. Job Summary The Manger of Data Science will lead the ...

Harley-Davidson

Mgr Data Science

Milwaukee, WI · On-site

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Join our team as a Mgr Data Science. Job Summary The Manger of Data Science will lead the ...

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 ...

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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All JobsPart Time Amazon Data Science Jobs

Part Time Amazon Data Science information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 23, 2026, the average yearly pay for part time amazon data science in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 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.

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 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.
More about Part Time Amazon Data Science jobs
What cities are hiring for Part Time Amazon Data Science jobs? Cities with the most Part Time Amazon Data Science job openings:
What are the most commonly searched types of Amazon Data Science jobs? The most popular types of Amazon Data Science jobs are:
What states have the most Part Time Amazon Data Science jobs? States with the most job openings for Part Time Amazon Data Science jobs include:
What job categories do people searching Part Time Amazon Data Science jobs look for? The top searched job categories for Part Time Amazon Data Science jobs are:
Part Time Amazon Data Science jobs near you
Infographic showing various Part Time Amazon Data Science job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 63% Full Time, and 36% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
AAR Data Science Fellow

AAR Data Science Fellow

Association of American Railroads

Washington, DC

Part-time

Posted 17 days ago

Job description

Data Science Fellowship

The Policy & Economics (P&E) Division of the Association of American Railroads is pleased to invite applications for the Data Science Ph.D. Fellowship for the year 2025-2026. This fellowship offers a unique opportunity for Ph.D. students or experienced professionals interested in data management, analysis, and visualization projects related to the railroad industry and its regulatory requirements.

About the Fellowship:

The Data Science Fellowship aims to provide data science professionals with hands-on experience and collaborative opportunities to enhance their skills. Successful candidates will work part-time for one year, engaging in activities at the intersection of data science methods and scholarly domains utilizing data science for knowledge discovery and creation. Fellows will contribute to P&E's data modernization effort and will have the opportunity to contribute to AAR's recurring reports and publications, gaining valuable expertise in the railroad industry. The selected candidate will partner with economists and analysts to understand business process flow and the associated data flow, inputs, and outputs to derive a connected design.

Key Details:

  • Part-time appointment (24 hours/week, onsite) for one year with the possibility of appointment extension for another year.
  • Annual stipend commensurate with experience
  • Mentorship and career support provided
  • Opportunity to contribute to data modernization efforts, develop impactful visualizations and dashboards, and gain specialized knowledge of the railroad industry by supporting AAR's recurring reports, ensuring timely delivery and high standards of quality and clarity.

Apply