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Remote Amazon Data Science Jobs (NOW HIRING)

Peraton

Data Science, Advisor

$135K - $216K/yr

This role will be a remote position. At times, the role will also require travel to the Quantico ... Amazon Macie. #DSCAPersonnelVetting Qualifications What you'll need: * Education: 8 years ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data Science Consultant, Insurance - Remote (Open) Location Arizona - Home Teleworkers Additional ...

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Remote Amazon Data Science information

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

AspectRemote Amazon Data ScienceRemote Amazon Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/R; experience with machine learningBachelor's in Data Analysis, Business, or related fields; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentCollaborative teams, cross-functional projects, remote data science platformsRemote reporting, data interpretation, and visualization tasks within Amazon teams
Employer & Industry UsageAmazon's data science teams focusing on predictive modeling, ML, and AIAmazon's data analysis teams focusing on reporting, dashboards, and business insights

Remote Amazon Data Science involves developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Remote Amazon Data Analyst roles focus on interpreting data, creating reports, and supporting decision-making with less emphasis on coding. Both roles are integral to Amazon's data-driven strategies but differ in technical complexity and daily tasks.

More about Remote Amazon Data Science jobs
What cities are hiring for Remote Amazon Data Science jobs? Cities with the most Remote Amazon Data Science job openings:
What are the most commonly searched types of Amazon Data Science jobs? The most popular types of Amazon Data Science jobs are:
What states have the most Remote Amazon Data Science jobs? States with the most job openings for Remote Amazon Data Science jobs include:
What job categories do people searching Remote Amazon Data Science jobs look for? The top searched job categories for Remote Amazon Data Science jobs are:
Remote Amazon Data Science jobs near you
Infographic showing various Remote Amazon Data Science job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.
Data Science, Advisor

Data Science, Advisor

Peraton

Remote

$135K - $216K/yr

Full-time

Posted 21 days ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 56 frontline employees who took The Breakroom Quiz

41st of 210 rated it services

Job description

Responsibilities
Peraton is looking to hire an Data Science Engineer in the Washington DC Metro area. This role will be a remote position. At times, the role will also require travel to the Quantico client site when necessary.
What you'll do:
  • Data Science Engineer designs, builds, and scales an organization's foundational data infrastructure. Beyond simply constructing data pipelines.
  • Experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud
  • The successful candidate should have of experience in data engineering, including building data pipelines and warehouses
  • Supports technical activities across the contract, and drives continuous improvement and innovation into program operations.
  • Advises on technology alternatives related to processing, data storage, data access, application development, and enterprise architecture decisions as needed.
  • Establish coding best practices and align complex data architectures with overarching business goals.
  • Use APIs to push and pull data from various data systems and platforms
  • Excellent listening, interpersonal, communication and problem solving skills.
  • General data manipulation skills: read in data, process and clean it, transform and recode it, merge different data sets together, reformat data between wide and long, etc.
  • Build and optimize ETL/ELT pipelines using glue and python to move and transform data across fabric.
  • Package, curate, and version datasets for LM fine-tuning and model training jobs on Bedrock and Sagemaker.
  • Enforce CUI handling requirements, automate PII detection and maintain Audit trails, e.g. Amazon Macie.

#DSCAPersonnelVetting
Qualifications
What you'll need:
  • Education: 8 years experience with a BS/BA, 6 years with a MS/MA, 3 years with a PhD or 12 years of experience in lieu of a degre
  • Clearance: active Secret clearance
  • Demonstrates strong expertise in AWS architecture, security in the SDLC, and communication of technical risk and architecture decisions to executive audiences.
  • Experience designing and building Data Lakes, Data Warehouses, and scalable data platforms in the cloud
  • Experience with programming skills like Java, SQL, Scala, Python, R, defining schema and software engineering best practices including secure, testable, and maintainable code and database (eg SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)
  • Demonstrate a deep understanding of data engineering principles and techniques.
  • Ability to work effectively in teams, in both a lead and support role.
  • Ability to learn new techniques and troubleshoot code without support, ex. find answers to common programming challenges on Google etc.
  • Ability to work effectively in teams, in both a lead and support role as needed
  • Must be local to the Washington DC Metro area

Peraton Overview
Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.
Target Salary Range
$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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