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Entry Level Amazon Data Science Jobs in Reston, VA

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 ...

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 ...

You will be part of a research-focused data science team working to advance national security ... Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)

You will be part of a research-focused data science team working to advance national security ... Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)

As a Data Scientist on our team, you will leverage advanced analytics and machine learning to ... At Amazon, security is central to maintaining customer trust and delivering delightful customer ...

As a Data Scientist on our team, you will leverage advanced analytics and machine learning to ... At Amazon, security is central to maintaining customer trust and delivering delightful customer ...

You will be part of a research-focused data science team working to advance national security ... Experience with an on-prem, air gapped environment and/or Amazon Web Services (AWS/C2S)

Amazon Web Services (AWS) is a fast paced technology company and a leader in the world of data ... science, network engineering, etc.) - Experience with installing physical data center equipment ...

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Entry Level Amazon Data Science information

What is the difference between Entry Level Amazon Data Science vs Entry Level Amazon Data Engineering?

AspectEntry Level Amazon Data ScienceEntry Level Amazon Data Engineering
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python, R skillsBachelor's in Computer Science, Software Engineering, or related; SQL, Python, Spark skills
Work EnvironmentAnalyzing data, building models, predictive analyticsBuilding data pipelines, managing data infrastructure
Employer & Industry UsageUsed across Amazon for insights, recommendations, customer behaviorSupports data infrastructure, ETL processes, data storage

Entry Level Amazon Data Science focuses on analyzing data and creating models to inform business decisions, while Entry Level Amazon Data Engineering involves building and maintaining data pipelines and infrastructure. Both roles require technical skills but differ in their core responsibilities and daily tasks.

What are some common challenges faced by entry-level data scientists at Amazon, and how can they be addressed?

Entry-level data scientists at Amazon often encounter challenges such as working with large-scale, complex datasets and adapting to the fast-paced, results-driven environment. Navigating Amazon's proprietary tools and understanding the business context behind data projects can also be daunting at first. To overcome these challenges, new hires are encouraged to actively seek guidance from mentors, participate in team knowledge-sharing sessions, and invest time in learning Amazon's data infrastructure and workflows. Collaboration with cross-functional teams is frequent, so developing strong communication skills and a willingness to ask questions can significantly ease the transition and lead to early success.

What are the key skills and qualifications needed to thrive as an Entry Level Amazon Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist at Amazon, you typically need a strong foundation in statistics, data analysis, and programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and languages such as Python, SQL, AWS, and machine learning libraries, along with experience using data visualization platforms, is highly valued. Strong problem-solving abilities, communication skills, and the ability to collaborate across teams set top candidates apart. These skills are essential to extract actionable insights from large datasets, drive data-driven decisions, and contribute effectively to Amazon’s innovative environment.

What is an entry level Amazon data science job?

An entry level Amazon data science job typically involves analyzing large datasets, building data models, and generating insights to help Amazon improve its products and services. Employees in these roles often work with teams of data scientists, engineers, and business stakeholders to solve real-world business problems. Key responsibilities may include cleaning and organizing data, using statistical and machine learning techniques, and creating visualizations to communicate findings. Entry-level positions usually require a background in statistics, computer science, or a related field, along with proficiency in programming languages like Python or R.
What are the most commonly searched types of Amazon Data Science jobs in Reston, VA? The most popular types of Amazon Data Science jobs in Reston, VA are:
What job categories do people searching Entry Level Amazon Data Science jobs in Reston, VA look for? The top searched job categories for Entry Level Amazon Data Science jobs in Reston, VA are:
What cities near Reston, VA are hiring for Entry Level Amazon Data Science jobs? Cities near Reston, VA with the most Entry Level Amazon Data Science job openings:
Cyber Data Science Engineer

Cyber Data Science Engineer

RDR Inc

Chantilly, VA

Other

Posted 8 days ago


Job description

Description

This position is contingent upon award.


Requires an active TS/SCI with CI Poly clearance prior to consideration.


Program Description:

The program provides Systems Engineering and Technical Assistance (SETA) core and non-core support in the areas of Cyber Security and Management to improve the Information Assurance (IA) posture of a National customer. The contracts Core Capabilities are: IA Management, Federal Information Security Management Act (FISMA) coordination and reporting, Risk Management Framework (RMF) application, IA compliance measurements and metrics, Assessment and Authorization (A&A), Vulnerability Management, and Cyber Defense support.


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:

  •  Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large cybersecurity data sets
  •  Develop data-driven solutions
  •  Analyze 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)
  •  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


Requirements

 Current U.S. Government Top Secret clearance with SCI eligibility with 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
  •  Deep understanding of statistics and analysis
  •  Skilled in artificial intelligence and machine learning (e.g., SageMaker)
  •  Ability to code in multiple languages, including Python
  •  Knowledge of databases, data structures, and data architectures
  •  Excellent communications skills - both verbal and non-verbal
  •  Office Automation Skills - MS Office, MS Project, Visio
  •  Self-starter requiring limited direction and supervision
  •  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
  •  Experience with Tableau administration
  •  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