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Remote Full Stack Data Scientist Jobs (NOW HIRING)

Bayesian Health

Software Engineer, Full Stack

You will work closely with product managers, clinicians, data scientists, and other software ... Full Stack Product Ownership: Design, develop, test, deploy, and maintain robust and scalable full ...

Zenlaw

Full-Stack Engineer (Remote)

New York, NY · On-site +1

As a Zenlaw Full-Stack Engineer you will: * Develop new features working with cross-functional ... Bachelor's degree in Computer Engineering, Computer Science, Information Technology or related ...

Business Centric Technology

Full Stack Developer

Plano, TX · Remote

$65 - $75/hr

This is a remote, 6-month contract position. COMP : $65-75/hour depending on candidates experience ... Design, build, and maintain full-stack application components, including database schemas, data ...

Redfish Recruiting

Full Stack Engineer

Remote Position Type: Full-Time About EBM Medical EBM Medical is a growing healthcare company ... Bachelor's degree in Computer Science or a related field, or equivalent practical experience. Nice ...

GRVTY

Data Scientist - Cleared

Chantilly, VA · On-site +1

... Software Engineers, Full Stack Developers, UI/UX Developers, and AWS/DevOps experts. We're ... remote work) and requires a TS/SCI + Poly clearance (acceptable to this customer). What You'll be ...

Miller Cooper

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Fully remote role that has a large business impact. How You'll Contribute * Design, develop, test ... care data standards, and regulatory requirements. About YOU! * B.S. in Computer Science ...

Miller Cooper

Full Stack Software Engineer

Chicago, IL · Remote

$125K - $145K/yr

Fully remote role that has a large business impact. How You'll Contribute * Design, develop, test ... care data standards, and regulatory requirements. About YOU! * B.S. in Computer Science ...

EDO

Senior Full Stack Engineer

New York, NY · On-site +1

$150K - $180K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press. The Role As a ... You will partner with our Media Analytics and Data Science teams to present our clients with the ...

Vianai Systems

Data Scientist

Palo Alto, CA · On-site +1

$115K - $180K/yr

Hands on experience on full stack JavaScript web application development. * Familiar with data ... science, drive deeper intelligence into decision making and improve business outcomes. Vianai ...

SynMax

Senior Full-Stack Engineer

Houston, TX · On-site +1

Work alongside software engineers and data scientists, providing programming and infrastructure ... A fully remote role within a collaborative environment, plus optional access to our Houston office.

The Social App

Full Stack Engineer (Remote)

Washington, DC · Remote

$125K - $185K/yr

Bachelor Science degree in Computer Science or Computer Engineering or equivalent with some courses ... Experience with AWS/EC2 * Experience with Node.Js * Knowledge of machine learning and data ...

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Remote Full Stack Data Scientist information

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How much do remote full stack data scientist jobs pay per year?

As of Jul 18, 2026, the average yearly pay for remote full stack data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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.
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Remote Full Stack Data Scientist jobs near you

Junior / Mid-Level Full-Stack Platform Engineer (Remote)

Urrly

Austin, TX • Remote

$90K - $130K/yr

Full-time

Re-posted 6 days ago

Job description

Build the full-stack platform behind biometric health technology used in real research, healthcare, workforce safety, and enterprise environments.

Junior / Mid-Level Full-Stack Platform Engineer

Location: Remote/distributed in the United States; Austin / San Antonio preferred

Company: Confidential biometric health technology company

Compensation: $90,000-$130,000 base salary, with additional flexibility for exceptional profiles

Opportunity

We are hiring a Junior / Mid-Level Full-Stack Platform Engineer for a fast-moving biometric health technology company building production systems around wearable physiological data, APIs, SDKs, and AI-forward infrastructure.

This is a hands-on builder role for someone early in their engineering career who already has real full-stack experience and strong fundamentals. You do not need to be a senior engineer. You do need to be sharp, practical, curious, and able to ship useful software with mentorship from experienced technical leaders.

The right person will help build backend services, frontend surfaces, APIs, SDKs, and data pipelines that support a broader biometric data platform. You will work in a lean startup environment where speed, ownership, clear communication, and good engineering judgment matter.

Why People Lean In
  • Real platform work in biometric health technology, not toy internal tools.
  • Direct exposure to AI-forward infrastructure, data pipelines, APIs, and SDKs.
  • Mentorship from senior technical leaders while still owning meaningful build work.
  • A lean startup environment where strong early-career engineers can grow quickly.
  • Remote/distributed setup, with Austin / San Antonio preferred but not required.
  • $90,000-$130,000 base salary for the right early-career or junior/mid-level profile, with additional flexibility for exceptional profiles.
What You Will Do
  • Build and improve full-stack platform features across frontend, backend, APIs, SDKs, and data systems.
  • Write Python- or Go-backed services and work with JavaScript or TypeScript on product-facing surfaces.
  • Support data pipelines and platform workflows that connect biometric data, enterprise systems, and AI-facing infrastructure.
  • Collaborate with senior engineers on architecture, implementation, deployment, and technical tradeoffs.
  • Ship clean, reliable code in a compliance-aware environment.
  • Debug production-adjacent issues, reason through data flow, and improve the platform over time.
  • Move quickly without waiting for every detail to be prescribed.
What You Bring
  • Hands-on full-stack software engineering experience from a professional role, internship, startup, open-source work, or substantial shipped project.
  • Strong Python or Go skills.
  • Experience building backend services, APIs, SDKs, or data pipelines.
  • Practical frontend experience, especially JavaScript or TypeScript.
  • Solid fundamentals in Git, testing, debugging, deployment, interfaces, and data flow.
  • Comfort working in a lean startup where priorities move quickly.
  • Ability to communicate tradeoffs clearly and learn from senior engineers.
  • Willingness to complete a live coding assessment.

Recent grads can be a fit when they have unusually strong full-stack project, internship, startup, or open-source evidence. This is not a pure classroom-only role; the team needs someone who has already built and shipped real software in some form.

Nice To Have
  • Depth across both Python and Go.
  • AI/ML, AI tooling, data infrastructure, or model-facing platform exposure.
  • Health tech, wearables, biometric data, IoT, or device-connected software experience.
  • HIPAA, SOC 2, GDPR, or other compliance-aware engineering experience.
  • Austin, San Antonio, or broader Texas location.
  • Strong science, engineering, computer science, or systems-oriented background.
What Success Looks Like
  • You learn the existing platform quickly and start shipping useful work.
  • You can own well-scoped full-stack, API, SDK, backend, or data-pipeline tasks from definition through deployment.
  • You ask good questions, communicate tradeoffs, and avoid getting stuck quietly.
  • You write code that is simple, testable, and maintainable.
  • You grow quickly with mentorship while still taking real ownership.
  • You bring curiosity about AI-enabled engineering without needing to be a pure AI researcher.
Additional Details

This is a full-time role with a distributed U.S. team. Austin / San Antonio is preferred, but the engineering team is already distributed, so location is helpful rather than mandatory.

The posted salary range is $90,000-$130,000 base salary, with additional flexibility for exceptional profiles. Final compensation depends on experience, skill level, technical assessment performance, and fit for the role.

Equal Opportunity Statement

Employment decisions are based on qualifications, experience, business needs, and role-related requirements. The company does not discriminate based on protected status. Urrly reviews applications against job-related factors such as skills, certifications, and experience.

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