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Remote Full Stack Data Scientist Jobs in Seattle, WA

Infotech Sourcing

Technical Program Manager III

Kirkland, WA · Remote

$146K - $189K/yr

US - CA - Remote (105700) Job Title: Technical Project/Program Management - Technical Program ... Leading high complexity, XFN-heavy full-stack engineering projects (both front- and back-end ...

Uw

Web Application Developer

Seattle, WA · Remote

This role is eligible to be a fully remote position. Key Responsibilities Full Stack Web ... Produce clear technical documentation - including data flow diagrams, process models, and system ...

Stripe

Software Engineer

Seattle, WA · On-site +1

$156K - $235K/yr

... Science, Data Science, or a related field, plus 2 years of Software development experience ... full-stack web applications at scale * 2 years of experience with database management * 2 years of ...

TEKsystems

Remote ServiceNow Developer

Seattle, WA · Remote

$75 - $95/hr

Perform CMDB cleanup and data quality improvement efforts * Serve as a trusted advisor on ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

1 point system

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Prelim

Software Engineer, Product

Seattle, WA · Remote

$140K - $160K/yr

... and fully remote US team. You'll have the opportunity to architect and build the platform that ... This isn't just another full-stack role, it's the chance to build the infrastructure that millions ...

TEKsystems

QE/Test Project Manager

Seattle, WA · Remote

$65 - $75/hr

Sr. Project Manager (Test/Data & Quality Engineering) Location: 100% Remote We are seeking a highly ... As an industry leader in Full-Stack Technology Services, Talent Services, and real-world ...

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All JobsFull Stack Data Scientist JobsRemote Full Stack Data Scientist JobsRemote Full Stack Data Scientist Jobs in Seattle, WA

Remote Full Stack Data Scientist information

See Seattle, WA salary details

$52.3K

$187.8K

$277.1K

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

As of Aug 12, 2026, the average yearly pay for remote full stack data scientist in Seattle, WA is $187,795.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,900.00 and $193,500.00 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?

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 Seattle, WA? The most popular types of Full Stack Data Scientist jobs in Seattle, WA are:
What are popular job titles related to Remote Full Stack Data Scientist jobs in Seattle, WA? For Remote Full Stack Data Scientist jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Data Scientist jobs in Seattle, WA look for? The top searched job categories for Remote Full Stack Data Scientist jobs in Seattle, WA are:
Remote Full Stack Data Scientist jobs near you
Infographic showing various Remote Full Stack Data Scientist job openings in Seattle, WA as of August 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 100% Remote job distribution, with an average salary of $187,795 per year, or $90.3 per hour.

Senior Forward Deployed Engineer, Agentic AI & RAG

Braintrust

Seattle, WA • Remote

$63 - $84/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Company
Braintrust is a global talent network that connects top independent professionals with leading companies for high-quality, flexible work. We help organizations hire skilled talent faster while giving professionals access to vetted opportunities with innovative teams. Job description
About the Role

Lead the architecture and delivery of production Agentic AI and enterprise knowledge solutions for strategic customers. This role combines hands-on engineering, solution architecture, customer partnership, and delivery leadership across complex enterprise environments.

This is a remote U.S. contract role. Texas-based candidates are preferred, and the work requires up to 25% travel for customer engagements.

What You'll Do
  • Translate ambiguous customer needs into scalable technical plans and successful AI deployments.
  • Architect, prototype, implement, and optimize customer-specific applications on an Agentic AI platform.
  • Build enterprise data pipelines, system integrations, multi-agent orchestration, RAG workflows, platform extensions, and production-grade AI services.
  • Lead technical solution design with customers and partner closely with Product, Platform Engineering, and other cross-functional teams.
  • Improve post-deployment reliability, observability, performance, adoption, and reusable delivery practices.
Requirements
  • 6+ years of engineering experience, including at least 2 years in customer-facing, field engineering, solutions engineering, or forward-deployed engineering roles.
  • Proven experience building and deploying production AI/ML, data-intensive, or enterprise-grade applications.
  • Strong full-stack development experience with Python, Node.js or Go, and React or Vue.
  • Hands-on DevOps experience with Docker, Kubernetes, CI/CD, and cloud-based deployment practices.
  • Experience designing enterprise data pipelines, system integrations, REST APIs, SQL, GraphQL, webhooks, and reusable platform tooling.
  • Strong knowledge of LLMs, prompt engineering and tuning, vector databases, RAG pipelines, and agentic workflows. Relevant tools may include Pinecone, Weaviate, AstraDB, LlamaIndex, Haystack, LangChain, LangGraph, or CrewAI.
  • Ability to lead strategic customer implementations, translate uncertain business needs into actionable plans, and communicate effectively across technical and business stakeholders.
  • An undergraduate, master's, or PhD degree in Computer Science, Data Science, or a related technical field.
Preferred Experience
  • SLM fine-tuning, model distillation, or model optimization.
  • Enterprise Agentic AI delivery, graph databases, multimodal AI, evaluation frameworks, security and guardrails, or GPU infrastructure.
  • Production observability, monitoring, versioning, telemetry, trustworthy AI practices, and post-deployment optimization.
  • Creating reusable technical assets, internal frameworks, documentation, or platform improvements.
Engagement and Selection

This is a full-time contract requiring 40 hours per week during Central Time business hours, with full working-hours overlap. The engagement is expected to begin as soon as possible and continue for at least six months. The selection process includes an initial HR screen, a technical screen, and two client interview rounds.

Compensation

$63-$84 USD per hour.

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