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Remote Amazon Data Science Jobs in Springfield, VA

SAIC

Senior Data Scientist

Springfield, VA · Remote

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description ? SAIC is a premier Fortune 500 ... Apply expert knowledge of industry-standard data science principles to identify anomalous events ...

Booz Allen Hamilton, Inc.

Data Engineer

Mclean, VA · On-site +1

$77.60K - $176K/yr

... Data Science, or Engineering Nice If You Have: * Experience with AWS services such as Amazon S3 ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Parsons

Senior Data Scientist

Springfield, VA · Remote

Apply expert knowledge of industry-standard data science principles to identify anomalous events ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

Deltek, Inc.

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10569BR Company Summary As the recognized global standard ... Collaborating closely with data science and analytics teams, you will deliver advanced data ...

Deltek, Inc.

Data Scientist

Herndon, VA · On-site +1

$76K - $134K/yr

08-Apr-2026 Sr Data Engineer US (Remote) 10786BR Company Summary As the recognized global standard ... Collaborating closely with data science and analytics teams, you will deliver advanced data ...

HiddenLayer

Data Scientist

Washington, DC · Remote

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

Skyline Scientific Inc

Senior Data Scientist

Mclean, VA · Remote

$150K - $200K/yr

This role applies physics-based modeling, image science, and data analytics to detect, track, locate, and characterize remote sensing targets. While familiarity with OPIR is valuable, the primary ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop ... Integrate data science workflows with existing systems and applications to enable seamless data ...

Govini

Forward Deployed Data Scientist

Arlington, VA · On-site +1

Our flagship product, Ark, supports Supply Chain, Science & Technology, Production, Sustainment ... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ...

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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.

What are popular job titles related to Remote Amazon Data Science jobs in Springfield, VA? For Remote Amazon Data Science jobs in Springfield, VA, the most frequently searched job titles are:
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Remote Amazon Data Science jobs near you
Senior Data Scientist

Senior Data Scientist

SAIC

Springfield, VA • Remote

Other

Posted 12 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

68th of 203 rated it services

Job description

Job ID: 2610293
Location: Springfield, VA, US
Date Posted: 2026-03-24
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: TS.SCI
Clearance Level Must Be Able to Obtain: TS/SCI with Poly
Potential for Remote Work: ORA_ON_SITE
Description
? SAIC is a premier Fortune 500 mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, civilian and intelligence markets includes secure high-end solutions in mission IT, enterprise IT, engineering services and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are seeking a highly motivated Senior Data Scientist to lead the integration and application of advanced data analytics to solve complex business challenges and enhance mission security. The contractor will serve as a subject matter expert (SME), responsible for the entire lifecycle of data analysis, refining business requirements and developing sophisticated analytical models to provide strategic recommendations that improve organizational efficiency and mitigate insider threats. This role demands a blend of deep technical expertise, strong business acumen, and the ability to lead, manage, and support critical operational and policy-related initiatives.
Work will be performed at the customer site in Springfield, VA.
***The hiring of this position is contingent upon contract award. Anticipated award is fall of 2026.***
Responsibilities will include the following:
  • Advanced Analytics and Model Development: Architect, develop, and maintain advanced analytic models, visualizations, and tools to deter, detect, and mitigate insider threats. Apply expert knowledge of industry-standard data science principles to identify anomalous events and provide actionable intelligence.
  • Strategic Business Analysis: Proactively collaborate with project requestors, senior stakeholders, and program managers to define, clarify, and refine complex business needs and strategic objectives. Utilize data-driven insights to recommend significant changes and process improvements.
  • Process Improvement and Policy Operations: Lead, manage, and support business operations and policy development lifecycles. Serve as an SME for the development, review, coordination, promulgation, and compliance of enterprise-wide policies, including the maintenance of Self-Inspection Checklists and related documentation.
  • Risk and Performance Analytics: Own the development and maintenance of sophisticated risk-scoring models and other data analytics tools. Drive the implementation and sustainment of data analysis platforms, ensuring system integrity by capturing and analyzing metrics on system errors, failures, and performance.
  • Stakeholder Engagement and Communication: Translate complex quantitative and qualitative analysis into clear, compelling visuals, dashboards, and executive-level reports. Provide authoritative visual, technical, and editorial guidance, and confidently brief senior leadership on analytical findings, forecasts, and strategic recommendations.
  • Data Governance and Integrity: Oversee the capture, maintenance, and accumulation of statistics, ensuring the accuracy of data related to timelines, product transfers between domains, and other key performance indicators.

Qualifications
Required Qualifications Include:
  • Active TS/SCI with Polygraph.
  • Education: A minimum of a Master's Degree in Data Science, Statistics, Business, or a related field.
  • Experience: 7+ years proven experience in integrating, developing, and maintaining analytic models, visualizations, and tools, preferably in a security or threat-detection context. In lieu of a masters degree, 10+ years of experience. In lieu of a bachelor's degree, 15+ years of experience.
  • Expert-level knowledge of data analytics and data science principles, with a demonstrated ability to apply them to identify anomalous events and create data-driven forecasts.
  • Extensive experience collaborating with stakeholders at all levels to define business requirements and translate them into technical solutions.
  • Demonstrated ability to lead process improvement initiatives and contribute to the full lifecycle of policy development and business operations.
  • Mastery of data visualization and dashboard development using data sets from various sources.
  • Exceptional ability to transform complex data sets into compelling visuals, reports, and briefings for leadership.
  • Excellent verbal and written communication skills, with experience providing technical and editorial guidance.
  • Direct experience supporting and maintaining risk-scoring models or similar predictive analytic systems.
  • Experience in a role requiring significant cross-functional collaboration and the ability to manage competing priorities.
  • Proficiency in creating and editing visual content such as charts and graphs to represent data.
  • At least 2 years demonstrated experience in one or more Geospatial Information Systems tools such as ArcView, ArcGIS, Remote View, ArcIMS, ERDAS Imagine, Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and FrameMaker.
  • Demonstrated coding experience to support writing scripts with tools such as but not limited to Java and Python.
  • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems/databases to manipulate and build data visualization.

Desired Qualifications Include:
  • Experience in a leadership or mentorship role within a data analytics or business intelligence team.
  • Familiarity with geospatial analysis, web development principles, or specific program leadership reporting structures.

SAIC is a premier technology integrator providing full life cycle services and solutions in the technical, engineering, intelligence, and enterprise information technology markets. SAIC is Redefining Ingenuity through its deep customer and domain knowledge to enable the delivery of systems engineering and integration offerings for large, complex projects. SAIC's approximately 15,000 employees are driven by integrity and mission focus to serve customers in the U.S. federal government. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $4.5 billion. For more information, visit saic.com. For information on the benefits SAIC offers, see .

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