1

Amazon Data Science Jobs in Washington, DC (NOW HIRING)

Be Seen First

Data Scientist- TS/SCI

Bethesda, MD · On-site

$160K - $200K/yr

Experience in data science, analytics or quantitative intelligence analysis, and demonstrating ... Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)

Experience in data science, analytics or quantitative intelligence analysis, and demonstrating ... Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)

Advanced Python experience for data science, machine learning, model experimentation, automation ... AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock ...

Build / manage production-ready data science product lifecycles, continuous delivery and automation ... using Amazon EC2, STorm, Hadoop, Spark, etc. * Design / develop dashboards, UI and interactive ...

... using Amazon Bedrock. The deliverables include: helping customers solve complex problems with data science, contributions to the joint technical guidance, architectural blueprints / whitepapers ...

Senior Data Scientist

Bethesda, MD · On-site

$140 - $190/hr

This role willleadthe development of data science and generative AI solutions while supporting ... Familiarity with AWS cloud services and AI platforms such as Amazon Bedrock is a plus.

Senior Data Scientist

Springfield, VA · On-site

$117 - $195/hr

Communication * Data Science * Data analytics * Power BI * Problem Solving * Causal Inference ... Amazon Redshift * Amazon S3 * Amplitude * Apache Spark * AWS * Airflow * Batch * ChatGPT * Clarity

Senior Data Scientist

Falls Church, VA · On-site

$140 - $190/hr

This role willleadthe development of data science and generative AI solutions while supporting ... Familiarity with AWS cloud services and AI platforms such as Amazon Bedrock is a plus.

New

Strong Python experience for data science, machine learning, model experimentation, automation, API ... AWS cloud experience, including familiarity with services such as Amazon SageMaker, Amazon Bedrock ...

Showing results 41-60

Amazon Data Science information

See Washington, DC salary details

$52.1K

$186.9K

$275.8K

How much do amazon data science jobs pay per year?

As of Aug 11, 2026, the average yearly pay for amazon data science in Washington, DC is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Amazon data science position, and why are they important?

To thrive as an Amazon Data Science professional, you need strong analytical abilities, expertise in statistics and machine learning, and a solid educational background in computer science, mathematics, or a related field. Proficiency in programming languages such as Python or R, familiarity with big data tools like AWS, Spark, or Hadoop, and relevant certifications (e.g., AWS Certified Data Analytics) are often required. Effective communication, business acumen, and collaborative problem-solving set exceptional candidates apart. These skills are crucial for transforming complex data into actionable insights that drive impactful business decisions at Amazon.

What types of projects and challenges can I expect as an Amazon data science team member?

As an Amazon Data Science team member, you can expect to work on projects ranging from optimizing supply chains and recommendation systems to improving customer experiences and forecasting demand. Daily responsibilities often involve analyzing large data sets, building predictive models, and collaborating closely with product managers, software engineers, and business leaders. The pace is fast, with opportunities to tackle complex problems that have a direct impact on Amazon’s customers and operations. You’ll also have the chance to grow your skills through cross-team projects, participation in internal workshops, and exposure to emerging data science technologies.

Does Amazon have data science jobs?

Yes, Amazon offers data science jobs across various teams, focusing on areas such as machine learning, data analysis, and predictive modeling. These roles typically require skills in programming, statistics, and tools like Python, R, or SQL, and often involve working in collaborative, fast-paced environments. Candidates should review Amazon's careers page for current openings and specific role requirements.

What is an Amazon data science?

An Amazon Data Science job involves leveraging data to drive business decisions, optimize operations, and enhance customer experiences. Data scientists at Amazon work with machine learning, statistical modeling, and big data technologies to analyze vast datasets and generate actionable insights. They collaborate with engineering, product, and business teams to develop data-driven solutions for challenges such as recommendation systems, demand forecasting, and fraud detection. Strong programming skills in Python or Scala, expertise in SQL, and experience with AWS tools are commonly required.

What are the most commonly searched types of Amazon Data Science jobs in Washington, DC? The most popular types of Amazon Data Science jobs in Washington, DC are:
What job categories do people searching Amazon Data Science jobs in Washington, DC look for? The top searched job categories for Amazon Data Science jobs in Washington, DC are:
Infographic showing various Amazon Data Science job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $186,899 per year, or $89.9 per hour.

Data Science - TS/SCI w POLY

Falls Technology

Mclean, VA • On-site

Full-time

Re-posted 3 days ago


Job description

Salary: 150-200k

TS/SCI with POLY REQUIRED


Looking for subject matter expertise to develop a tool to enhance their signature management capabilities
andtointegratetheSponsorsdiversedataholdingsandtoleveragenovelAI/MLsolutionsto support the Sponsors operational requirements.


Work Requirements

Data Science

  • TheContractorshallworkcloselywithotherteams; however, theSponsorprojectmanagerwillmanage 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
    Sponsors
    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
    Sponsors
    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