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Amazon Data Science Internship Jobs in Washington, DC

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

Data Scientist

Bethesda, MD · On-site

$120 - $150/hr

The role involves delivering advanced data science capabilities to advance national security ... Experience working in on-prem, air-gapped environments and/or Amazon Web Services (AWS/C2S)

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. ... Familiarity with Amazon Web Services (AWS) * Familiarity with customer's IA processes * Experience ...

Experience in data science, analytics, or quantitative intelligence analysis with progressive ... Experience with on-premises air-gapped environments and/or Amazon Web Services (AWS/C2S)

Apply advanced data science techniques including exploratory data analysis, feature engineering ... Experience in engineering data solutions within AWS (Amazon Web Services) GovCloud or Commercial ...

Apply advanced data science techniques including exploratory data analysis, feature engineering ... Experience in engineering data solutions within AWS (Amazon Web Services) GovCloud or Commercial ...

Apply advanced data science techniques including exploratory data analysis, feature engineering ... Experience in engineering data solutions within AWS (Amazon Web Services) GovCloud or Commercial ...

Apply advanced data science techniques including exploratory data analysis, feature engineering ... Experience in engineering data solutions within AWS (Amazon Web Services) GovCloud or Commercial ...

Showing results 21-40

Amazon Data Science Internship information

See Washington, DC salary details

$13

$25

$47

How much do amazon data science internship jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for amazon data science internship in Washington, DC is $25.49, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $27.79 per hour, depending on experience, location, and employer.

What is an Amazon Data Science internship?

An Amazon Data Science Internship is a temporary position for students or recent graduates to work with Amazon’s data science teams. Interns apply statistical analysis, machine learning, and data engineering skills to solve real-world business problems. The internship provides hands-on experience with large datasets and exposure to Amazon’s tools, technologies, and culture. Interns also have opportunities to collaborate with experienced data scientists and contribute to impactful projects. This experience can help launch a career in data science, especially in the tech industry.

What types of projects do interns typically work on during an Amazon Data Science internship?

As an Amazon Data Science intern, you can expect to work on real-world projects that directly impact business decisions. Common projects include developing predictive models, performing exploratory data analysis, and collaborating with software engineers to implement machine learning solutions. Interns often partner with cross-functional teams, such as product managers and business analysts, to translate data insights into actionable recommendations. This hands-on experience helps interns build technical and communication skills while gaining exposure to Amazon's fast-paced, data-driven environment.

What are the key skills and qualifications needed to thrive as an Amazon Data Science intern, and why are they important?

To thrive as an Amazon Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, often supported by progress toward a degree in computer science, mathematics, or a related field. Familiarity with tools like SQL, AWS, machine learning libraries (e.g., scikit-learn, TensorFlow), and version control systems is highly valued. Strong problem-solving skills, curiosity, and effective communication help interns collaborate and present findings to both technical and non-technical stakeholders. These abilities are crucial for delivering actionable insights and contributing to impactful projects in Amazon's fast-paced, data-driven environment.

How hard is it to get into an Amazon Data Science Internship?

Getting into an Amazon Data Science Internship is competitive, often requiring strong academic performance, relevant technical skills in programming and statistics, and prior experience with data analysis or machine learning. Candidates typically need to demonstrate proficiency in tools like Python or R and have a solid understanding of data-driven problem solving.

What are popular job titles related to Amazon Data Science Internship jobs in Washington, DC?

For Amazon Data Science Internship jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Amazon Data Science Internship jobs in Washington, DC look for?

The top searched job categories for Amazon Data Science Internship jobs in Washington, DC are:

Infographic showing various Amazon Data Science Internship job openings in Washington, DC as of August 2026, with employment types broken down into 21% Internship, 58% Full Time, 14% Part Time, 2% Temporary, 3% Contract, and 2% Summer. Highlights an 86% In-person, 5% Hybrid, and 9% Remote job distribution, with an average salary of $53,016 per year, or $25.5 per hour.

Data Science - TS/SCI w POLY

Falls Technology

Mclean, VA • On-site

Full-time

Re-posted 24 days ago


Job description

 TS/SCI with POLY REQUIRED


Looking for subject matter expertise to develop a tool to enhance their signature management capabilities
and to integrate the Sponsor’s diverse data holdings and to leverage novel AI/ML solutions to support the Sponsor’s operational requirements.


Work Requirements

Data Science

  • The Contractor shall work closely with other teams; however, the Sponsor project manager will manage the priorities.
  • The
    Contractor
    shall
    integrate
    with
    Sponsor
    team
    to
    develop
    an
    understanding
    of
    Sponsor
    data structures.
  • The Contractor shall build out schema and data models, as required by the Sponsor.
  • The
    Contractor
    shall
    complete
    the
    Sponsor’s
    systems
    administrator
    security
    course
    (approx.
    8
    hours
    of training).
  • The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.
  • The
    Contractor
    shall
    provide
    briefings,
    to
    include
    presentation
    slides
    and
    user
    guide
    documentation,
    as required by the Sponsor.

Data Science

  • The
    Contractor
    shall
    expand
    the
    Sponsor’s
    Artificial
    Intelligence
    and
    Machine
    Learning
    (AI/ML) architecture and develop an analytics user interface (UI).
  • The Contractor shall bridge research output to operational teams by packing models as reliable service.
  • The Contractor shall create operator-focused dashboards.
  • The
    Contractor shall deliver a stable, low-cost productions platform that enables rapid, tailored outreach.
  • The Contractor shall provide weekly highlights summarizing work progress as required by the Sponsor.
  • The
    Contractor
    shall
    provide
    briefings,
    to
    include
    presentation
    slides
    and
    user
    guide
    documentation,
    as required by the Sponsor.

Required Skills and Demonstrated Experience

The Contractor shall have the following required skills, certifications, and demonstrated experience:


    • Data Science #1


• Demonstrated experience with proficiency in Python.


  • Demonstrated experience with data analytics and transformations.

  • Demonstrated experience with complex graph database queries.

  • Demonstrated experience in cloud compute environments.

  • Demonstrated
    ability
    to
    effectively
    communicate
    (verbal
    and
    written)
    with
    technical
    and non-technical personnel as well as all levels of management and staff.

  • Data Science #2

  • Demonstrated experience in cloud compute environments.

  • Demonstrated experience in containerization concepts.

  • Demonstrated experience in Machine Learning Operations (MLOps).

  • Demonstrated expertise in software engineering, cloud architecture and UI design.

  • Demonstrated experience supporting big data environments.

  • Demonstrated
    ability
    to
    effectively
    communicate
    (verbal
    and
    written)
    with
    technical
    and non-technical personnel as well as all levels of management and staff.

Highly Desired Skills and Demonstrated Experience

Skills and demonstrated experiences that are highly desired but not required to perform the work include:


    • Data Science #1

    • Demonstrated experience with proficiency in SQL

    • Demonstrated experience with Cypher

    • Demonstrated experience with Amazon Web Service (AWS), (Lambda)

    • Demonstrated experience with Docker

    • Data Science #2

    • Demonstrated experience with proficiency in Python and SQL

    • Demonstrated experience with Docker

    • Demonstrated experience with Flask, Gradio, or Streamlit


 TS/SCI with POLY REQUIRED