1

Seasonal Amazon Data Science Jobs in Virginia (NOW HIRING)

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 ...

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 ...

Showing results 21-40

Seasonal Amazon Data Science information

What is the difference between Seasonal Amazon Data Science vs Amazon Data Analyst?

AspectSeasonal Amazon Data ScienceAmazon Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related fields; often some experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in data visualization and SQL
Work EnvironmentProject-based, seasonal roles during peak shopping periods, often remote or on-siteOngoing, full-time or part-time roles within Amazon's analytics teams
Employer & Industry UsageUsed mainly during high-demand seasons to optimize sales and logisticsUsed year-round for reporting, insights, and decision-making

Seasonal Amazon Data Science roles focus on applying advanced analytics and machine learning during peak seasons, while Amazon Data Analysts handle ongoing data reporting and insights. The roles differ mainly in scope, duration, and technical complexity, but both require strong analytical skills and familiarity with Amazon's data tools.

Do seasonal Amazon Data Science employees get hired permanently?

Seasonal Amazon Data Science employees are typically hired for temporary periods to support specific projects or peak seasons. Transition to permanent roles is possible but not guaranteed and depends on performance, business needs, and available openings. Many employees use seasonal roles to gain experience and may apply for full-time positions later.

Does Amazon hire seasonally?

Yes, Amazon hires seasonally, especially during peak shopping periods like the holidays. Seasonal roles often include positions in fulfillment centers, data analysis, and logistics, and they typically last for several months. These roles may require quick onboarding and familiarity with warehouse or data tools.

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 are popular job titles related to Seasonal Amazon Data Science jobs in Virginia?

For Seasonal Amazon Data Science jobs in Virginia, the most frequently searched job titles are:

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

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

Data Science Cyber Systems Engineer

TENICA and Associates LLC

Springfield, VA • On-site

Full-time

Re-posted 9 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