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Amazon Data Science Jobs in Virginia (NOW HIRING)

Leidos

Senior Data Scientist

Reston, VA

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

Leidos

Senior Data Scientist

Reston, VA · On-site

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

Leidos

Senior Data Scientist

Reston, VA · On-site

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

Leidos

Senior Data Scientist

Reston, VA

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

Leidos

Data Scientist

Arlington, VA · On-site

$69K - $125K/yr

You will be delivering cutting edge data science capabilities to advance national security ... Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S) #NMECDTP ...

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All JobsAmazon Data Science JobsAmazon Data Science Jobs in Virginia

Amazon Data Science information

See Virginia salary details

$45.6K

$163.6K

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How much do amazon data science jobs pay per year?

As of Sep 10, 2026, the average yearly pay for amazon data science in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

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 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.

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.

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 are the most commonly searched types of Amazon Data Science jobs in Virginia?

The most popular types of Amazon Data Science jobs in Virginia are:

What cities in Virginia are hiring for Amazon Data Science jobs?

Cities in Virginia with the most Amazon Data Science job openings:

Amazon Data Science jobs near you
Infographic showing various Amazon Data Science job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Data Science Cyber Systems Engineer

Springfield, VA

TENICA and Associates LLC
IT Services • 51 - 200 employees
Learn more about TENICA and Associates LLCexternal

Full-time

Re-posted 18 days ago

Job description

Position Description:

The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Daily Tasks include, but are not limited to:

  • Support Designated Authorizing Official Representative (DAO-R) and ConMon Validators in compliance decisions by analyzing data sets found in the customer's vulnerability scanning, authorization and configuration management tools
  • Import and transform data into usable sets for analysis tools used by the customer (e.g., Tableau, etc.)
  • Provide analysis and graphical presentations of collected metrics for IA compliance status reporting
  • Support legacy visualization and situational awareness tools based on Microsoft Excel
  • Collaborate with the Heat Map team to investigate options to simplify and automate the current Heat Map

Qualifications:

Required:

  • Current U.S. Government Top Secret clearance with SCI eligibility.
  • Favorably adjudicated Polygraph.
  • Bachelor of Science Degree in Science, Technology, Engineering or Mathematics (STEM) or an advanced IA certification (i.e., CISSP or CASP)
  • DoD 8570 certification in IAT or IAM
  • Knowledge of and experience with RMF policies
  • Excellent communications skills both verbal and non-verbal
  • Office Automation Skills MS Office, MS Project, Visio
  • Self-starter requiring limited direction and supervision
  • Strong analytic and risk management skills
  • Strong attention to detail
  • Ability to work in a team environment
  • Experience with data visualization tools (e.g. Tableau, Infogram, Chartbloks)
  • Experience with data transformation (structured data format/schema transformation) using common programming tools (e.g., Python, JSON, etc.)
  • Experience applying statistical analysis to large data sets

Desired:

  • Experience briefing senior customer personnel
  • Ability to organize and prioritize numerous customer requests in a fast pace deadline driven environment
  • Familiarity with Amazon Web Services (AWS)
  • Familiarity with customer's IA processes
  • Experience with ServiceNow and Splunk
  • Experience supporting IC or DoD in the Cyber Security Domain
  • Familiarity with the RMF process
  • Experience with Relational Database Management System (RDMS)
  • Experience with Apache Hadoop and the Hadoop Distributed File System
  • Experience with Amazon Elastic MapReduce (EMR) and SageMaker
  • Experience with Machine Learning or Artificial Intelligence

Apply