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Remote Full Stack Data Scientist Jobs in Virginia

Job Title: Software Engineer, Full Stack Location: Remote Division: Technology Department ... Familiarity with real-time data flows (WebSockets, SSE, or streaming telemetry endpoints) on either ...

Full Stack Developer Location: Remote Duration: 12 Months (Potential for Extension) Candidate ... Data Structures i.e Collections, Lists, Maps, Sets * OOP concepts and patterns * REST API * Unit ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply ... SAIC is a premier technology integrator providing full life cycle services and solutions in the ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV) Clearance Required: a TS or CBP BI or DHS Suitability clearance ...

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

... Science, Information Systems, Engineering, or related technical discipline OR 7+ years as a full ... data load processes, as well as optimizing and maintaining those implementations. * 2+ years of ...

Staff Software Engineer - Full Stack This is a remote position. Ad Hoc is a technology company that ... We partner with these agencies to build new capabilities, deliver products, establish data as a ...

Remote Clearance: Active DoD Secret clearance required Employment Type: Full-Time (W-2) Citizenship ... Required Qualifications * Bachelor's degree in Computer Science, Data Science, Engineering ...

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Remote Full Stack Data Scientist information

What is a Remote Full Stack Data Scientist?

A Remote Full Stack Data Scientist is a professional who works from any location to handle the end-to-end process of data science projects. This includes collecting and cleaning data, developing and training machine learning models, deploying solutions into production, and sometimes building user-facing applications. They are skilled in both back-end (data engineering, modeling) and front-end (visualization, application development) tasks. Remote Full Stack Data Scientists often collaborate with distributed teams using digital communication and project management tools. Their broad skill set allows them to manage the entire data pipeline and deliver actionable insights or products remotely.

How do Remote Full Stack Data Scientists typically collaborate with cross-functional teams in a virtual environment?

Remote Full Stack Data Scientists frequently work with product managers, engineers, and business analysts using collaboration tools such as Slack, Zoom, and project management platforms like Jira or Trello. Regular virtual meetings, clear documentation, and version control systems (like Git) help ensure transparency and alignment across teams. Effective communication and proactive updates are essential to keep projects on track and to integrate data-driven insights into the broader product development process.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Data Scientist, and why are they important?

To thrive as a Remote Full Stack Data Scientist, you need a strong foundation in statistics, machine learning, data engineering, and programming languages like Python or R, usually supported by a relevant degree in computer science, statistics, or a related field. Familiarity with tools and frameworks such as TensorFlow, PyTorch, SQL databases, cloud platforms (AWS, Azure, GCP), and experience with version control systems like Git are typically required. Excellent problem-solving, communication, and self-motivation skills are crucial for collaborating remotely and translating complex data insights to stakeholders. These combined abilities ensure effective end-to-end data solutions, seamless remote teamwork, and impactful business outcomes.
What are the most commonly searched types of Full Stack Data Scientist jobs in Virginia? The most popular types of Full Stack Data Scientist jobs in Virginia are:
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Software Engineer, Full Stack (Remote)

QCi

Remote

Full-time

Posted yesterday


Job description

Job Title: Software Engineer, Full Stack

Location: Remote

Division: Technology

Department: Engineering


About Us 

Quantum Computing Inc. (QCi) (Nasdaq: QUBT) is an innovative, integrated photonics company that provides accessible and affordable quantum machines to the world today. We are the pioneers of Entropy Quantum Computing (EQC), utilizing open quantum systems to solve NP-hard optimization problems. The Company's portfolio offers unique capabilities in high-performance computing, artificial intelligence, cybersecurity, and remote sensing.


Position Description

We are seeking a Full Stack software engineer to help build the web management interface for our quantum computing devices. You will work across the stack to design REST APIs, implement React and TypeScript interfaces, and integrate with the underlying hardware control services.You will collaborate closely with backend engineers working on the hardware control platform, as well as with UI/UX and Product teams to turn operator workflows into a clean, reliable web experience.


Responsibilities


  • Build and maintain a unified React, TypeScript, and Next.js codebase that serves as the central management interface for user access, system administration, and system auditing, deployed in both cloud environments and on-premise hardware appliances.

  • Design and implement RESTful APIs that expose device operations, telemetry, and configuration to the web console.

  • Integrate with distributed backend microservices to surface real-time hardware telemetry, job scheduling, and system status in the UI.

  • Implement client-side data visualizations for device state, telemetry streams, and system health.

  • Build configuration and credential management flows, including interfaces for generating, rotating, and auditing device keys and access credentials.

  • Implement network configuration interfaces that replace and extend existing CLI-based workflows, giving operators a browser-based alternative to restricted shell access.

  • Implement Role-Based Access Control (RBAC) across the API and UI layers to enforce permissions and view-level security.

  • Manage runtime configuration so the application connects to the correct service endpoints across cloud and on-premise deployments.

  • Contribute to CI/CD pipelines for deploying the console alongside hardware releases, including containerized builds for on-premise appliances.

  • Partner with backend, UI/UX, and Product teams to translate operator workflows into reliable, well-tested features.


Required Qualifications


  • 3+ years of professional software engineering experience building full-stack web applications.

  • Frontend experience with React and TypeScript, including building interfaces for technical or operator-facing users.

  • Backend experience in Python, including building REST APIs with FastAPI, Flask, Django REST Framework, or similar.

  • Experience contributing to web management consoles, from REST API endpoints through UI implementation, and key and credential management.

  • Familiarity with real-time data flows (WebSockets, SSE, or streaming telemetry endpoints) on either the server or client side.

  • Working knowledge of web security fundamentals (OWASP Top 10, XSS/CSRF mitigation) and experience with authenticated sessions using OAuth2/OIDC.

  • Experience implementing Role-Based Access Control (RBAC) in the UI, the API, or both.

  • Comfort with modern CSS layout (Grid, Flexbox) and implementing UI/UX designs.

  • Familiarity with CI/CD practices for deploying web applications.


Preferred Qualifications


  • Experience with systems that manage cryptographic keys, credentials, or sensitive device configuration.

  • Exposure to on-premise or appliance deployment models, including runtime configuration across cloud and local environments.

  • Experience with containerized deployments (Docker).

  • Experience with Next.js.

  • Exposure to data visualization libraries (D3.js, Three.js, or similar) for representing device state, network topology, or telemetry.


Skills

Python, React, TypeScript, Next.js, REST APIs, WebSockets, CSS3, SCSS, Responsive Design, OAuth2, OIDC, OWASP, RBAC, Docker, CI/CD




Employment Type: FULL_TIME