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Part Time Amazon Data Science Jobs (NOW HIRING)

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

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About the Position Seller Drive Global LLC is seeking a part-time Amazon PPC Specialist to manage ... Protect Company and client information, account credentials, advertising data, and campaign ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their expertise to an innovative project focused on advancing next ...

Lecturer (Data Science) Position Number: Pending Hiring Unit: College of Natural and Health ... Positions are part-time, temporary, non-tenure, and contingent upon course offerings, sufficient ...

Showing results 21-40

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 Sep 15, 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 a part time Amazon data science job?

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 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?

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.

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.

Is it possible to work part-time as a Amazon Data Science?

Part-time roles in Amazon Data Science are available, often requiring flexible schedules and relevant skills in machine learning, statistics, and programming. These positions may be suitable for individuals seeking reduced hours while contributing to data analysis and modeling projects.

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:

Infographic showing various Part Time Amazon Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Scientist - Part Time

Remote

Full-time, Part-time

Retirement, PTO

This job post hasΒ expired today.Β Applications are no longer accepted.


Job description

Data Scientist
Remote | U.S. Citizenship Required | Security Clearance Eligibility Required | Part Time

Why This Role Exists
The work we do has real impact, and the people behind it matter just as much.

D amp;G is seeking Data Scientist to develop statistically defensible representations of logistics-network behavior for modeling, simulation, and decision support. This role characterizes variability and uncertainty, fits probability distributions for key network variables, develops statistical or predictive models where they add value, and evaluates simulation outputs. Working with Operations Research Analysts and technical SMEs, the Data Scientist converts observed data into defensible assumptions and clearly communicates confidence, uncertainty, and limitations. The role focuses on statistical analysis rather than data pipelines, database architecture, or simulation software infrastructure.

What You Will Do

  • Perform exploratory data analysis to characterize distributions, variability, correlations, outliers, missingness, seasonality, and other patterns in logistics and operational data.
  • Fit and validate probability distributions for key network variables and quantify uncertainty using statistical methods, sensitivity analysis, resampling, and Monte Carlo techniques.
  • Develop and evaluate statistical and predictive models, including classification, clustering, and anomaly detection, to improve understanding of logistics-system behavior and support mission decisions.
  • Assess data sufficiency, model assumptions, performance, and uncertainty to distinguish meaningful signals from noise and identify additional data needs.
  • Partner with Operations Research Analysts to translate empirical findings and probability distributions into defensible stochastic inputs, parameters, and assumptions for modeling and simulation.
  • Analyze simulation outputs for variability, confidence, convergence, sensitivity, and statistical significance, collaborating with Data Engineers, Database Architects, and Logistics SMEs to validate analytical fitness.
  • Translate results into decision-ready visualizations and findings, and document methods, assumptions, code, diagnostics, limitations, and data provenance to support reproducibility and government delivery.

What We Are Looking For

Required

  • Bachelor's degree from an accredited university in Data Science, Statistics, Mathematics, Operations Research, Computer Science, Engineering, Economics, or a related quantitative field.
  • 8+ years of experience applying statistics, probability, data science, or predictive analytics to complex operational or mission problems.
  • Strong foundation in probability distributions, statistical inference, hypothesis testing, regression, uncertainty quantification, and model validation.
  • Proficiency in Python and SQL, including practical use of common scientific and statistical analysis libraries.
  • Demonstrated experience performing exploratory analysis, fitting distributions, evaluating statistical models, Monte Carlo techniques, and communicating analytical findings to technical and non-technical audiences.
  • Experience working with modeling and simulation, operations research, logistics analytics, or other stochastic analytical environments.

Preferred

  • Master's degree or Ph.D. in Statistics, Data Science, Operations Research, Applied Mathematics, Engineering, or a related quantitative field.
  • Experience with Bayesian analysis, survival/reliability analysis, time-series analysis, or other techniques relevant to logistics-network uncertainty.
  • Experience supporting Federal Government or Department of War modeling, simulation, analytics, or decision-support programs using logistics, transportation, aviation, cargo, UAS, operational-energy, or other mission-performance data.

Location

  • Remote
  • 10% Travel to client site in Washington, D.C. as needed.

Clearance and Eligibility

  • Must be a U.S. citizen and able to attain a security clearance.

  • This role is restricted to U.S. person(s) (U.S. citizens, permanent residents, and other protected individuals under 8 U.S.C. 1324b(a)(3)).

Who We Are
At D amp;G Solutions, people come first; our teammates, customers, and the communities we serve.
We are one of the fastest growing companies in the Washington, DC area and proud to be recognized nationally as a Best Place to Work. As an 8(a), Service-Disabled Veteran Owned, and Women Owned Small Business, we bring ownership, accountability, and care to everything we do. We also deeply believe in giving back and proudly support organizations such as Homes for Our Troops, SemperK9, and Wreaths Across America.
Our teams are welcoming, collaborative, and deeply committed to mission success. We believe great work happens when people feel supported, respected, and trusted, and we work hard to create that environment every day.

What We Offer
Competitive salary | Benefits | 401(k) | Bonus and profit sharing | Flexible hours | Education reimbursement | PTO

Final Note
If you want to work for a company that cares about its people, contribute to a mission that truly matters, and be part of a team where you are valued for who you are as well as what you do, we would love to hear from you.