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Remote Full Stack Data Scientist Jobs in California

Tilda Research

You will work on full-stack application engineering relevant to various clinical workflows * Build ... You have good understanding of foundational computer science concepts like design patterns, data ...

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA · On-site +1

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data ... full data engineering support * MLOps & CI/CD for ML - MLflow, GitHub Actions, or Azure DevOps ...

Clerkie

Full-Stack Engineer

San Francisco, CA · Remote

$120/hr

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ... Experience working on data-intensive or complex applications * Familiarity with fintech or ...

Hercules

Full-stack Engineer

San Francisco, CA · On-site +1

$100K - $250K/yr

Software fundamentals : system design, architecture, data modeling, and API design * Code and ... Is Hercules in-office or remote? Hercules founding team works in-office in San Francisco (Kearny ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... Fullpower is seeking a passionate, team-oriented, and self-motivated Data Scientist interested in ...

Asana

Data Scientist

San Francisco, CA · On-site +1

$171K - $230K/yr

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven ... Technical Stack: Expert proficiency in SQL and Python. Experience with MLOps tools (e.g., MLFlow ...

Clera

Full-Stack Engineer

San Francisco, CA · Remote

$175K - $225K/yr

About the Role A seed-stage construction lending fintech is looking for a Full-Stack Engineer with 6+ years of experience to join a small, high-velocity remote team. You'll work across the entire ...

Nash

Full Stack Engineer

San Francisco, CA · On-site +1

Full Stack Engineer San Francisco / Hybrid/Remote About Nash Logistics is the substrate beneath ... Strong communicator who collaborates well across product, design, operations, and data, and can ...

Workila

Full Stack Engineer

San Francisco, CA · On-site +1

Strong background with data structures and algorithms (CS/Mathematics deg) NICE-TO-HAVES * 1+ year ... Remote work not available TRAVEL Travel not required VISA Candidate visas are not supported ...

twenty80.io

Founding Full Stack Engineer

San Francisco, CA · On-site +1

$150K - $190K/yr

Own services, data models, and APIs end to end * Collaborate directly with founders on product ... Hybrid or remote-friendly within U.S. time zones Equal Opportunity This opportunity is with an ...

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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 California? The most popular types of Full Stack Data Scientist jobs in California are:
What are popular job titles related to Remote Full Stack Data Scientist jobs in California? For Remote Full Stack Data Scientist jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Data Scientist jobs in California look for? The top searched job categories for Remote Full Stack Data Scientist jobs in California are:
What cities in California are hiring for Remote Full Stack Data Scientist jobs? Cities in California with the most Remote Full Stack Data Scientist job openings:
Remote Full Stack Data Scientist jobs near you
Infographic showing various Remote Full Stack Data Scientist job openings in California as of June 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 100% Remote job distribution.
Staff Software Engineer, Full Stack

Staff Software Engineer, Full Stack

Doxel

Bodega Bay, CA • Remote

Full-time

Posted 29 days ago

Job description

Construction is the second-largest industry in the world—nearly 4x the size of SaaS—yet it still operates without the automated feedback loops that modern software teams rely on. Without real-time observability, issues are detected too late, contributing to over $3 Trillion in annual global waste.

Doxel brings computer vision and AI to construction, giving teams real-time visibility into progress, risk, and execution. From hospitals to data centers, and from field leaders to executive teams, Doxel is used every day to support better decisions and faster delivery. Our platform is trusted by industry leaders including Shell, Genentech, HCA Healthcare, Kaiser, Turner, and Layton.

Doxel’s automated progress tracking solution keeps teams aligned with hard facts that leave no ambiguity on where the project is today, where it will be tomorrow and what decisions need to be made to land it on schedule and on budget. This enables our customers to deliver projects, on average, 11% ahead of schedule with up to 16% savings on monthly cash flow.

Backed by Insight Partners and Andreessen Horowitz and with a rapidly growing team of engineers, scientists, construction veterans, and Enterprise go-to-market teams, we're driven to help our customers win. 

Join us as we continue our journey to transform the $15T Construction Industry!


The Role
As a Lead Software Engineer, you will help define and build the next generation of Doxel’s project management, commissioning, and field-enablement tools—systems trusted by the world’s largest general contractors and owners delivering mega-projects at unprecedented scale.
 
You’ll design and deliver full-stack applications that handle massive volumes of complex field data—including videos, images, structured forms, and IoT device outputs—and transform them into fast, intuitive workflows for both office teams and field workers. You’ll architect mobile and web experiences that make capturing, reviewing, and acting on this data effortless in environments where reliability, speed, and clarity matter.
 
As a technical leader, you’ll partner closely with product, design, backend, CV/ML, and platform engineering teams to turn Doxel’s AI and data systems into beautifully executed user experiences. You’ll provide technical leadership end to end shipping 0-1 projects, as well mentoring and coaching across engineering on best practices. 
Your Day to Day
  • You will lead the design and development of full-stack applications powering project management, commissioning workflows, and field data capture
  • Build web and mobile tools that make it simple for field teams to upload videos, images, structured forms, IoT readings, and issue documentation
  • Develop intuitive, high-performance UIs that handle complex data streams and large-scale datasets
  • Architect backend services and APIs that support rapid data ingestion, processing, and review at enterprise scale
What Success Looks Like
  • Collaborating cross-functionally with backend, CV/ML, product, design, and 3D visualization teams to deliver seamless end-to-end features
  • Driving full stack and mobile engineering best practices including testing, reliability, and performance optimization
  • Mentoring engineers establishing standards, reviewing architecture, and ensuring high-velocity execution
  • Contributing to technical planning, feature roadmaps, and long-term architectural decisions for Doxel’s applications ecosystem
  • Being the champion for usability and field readiness ensuring tools are simple, fast, and resilient in tough real-world construction environments
What You Bring
  • 10+ years of experience building and shipping full-stack web and mobile applications
  • Strong expertise with modern full-stack frameworks (e.g., Nuxt.js, Next.js, , or similar)
  • Strong backend engineering experience with Typescript, Python, or Java, including API development
  • Experience architecting applications that handle large-scale multimodal datasets (3d components, videos, images) and/or IoT data inputs
  • Deep experience building UX for field-facing or operationally critical workflows
  • Strong familiarity with cloud environments (AWS, GCP, or Azure) and containerized infrastructure
  • Skills in designing domain-driven data models and working with OLTP/OLAP systems
  • Prior experience leading or mentoring small engineering teams
Preferred Experience
  • Experience with data warehousing tools such as Redshift, Snowflake, Databricks, or BigQuery
  • Background with offline-capable architectures and mobile-first data collection tools
  • Experience with 3D visualization (three.js), geospatial data, or computer-vision-powered experiences
  • Exposure to ML/AI-driven feature development
  • Comfort with CI/CD pipelines, observability tooling, and automated testing best practices
Benefits & Company Culture
  • Competitive Base Salary + Equity Package
  • Remote first culture (for most roles)
  • Comprehensive Health Insurance (Medical, Dental, Vision)
  • Home Office Stipend
  • Monthly allowance for cell phone and internet
  • Flexible PTO, generous company holiday policy, and unlimited sick days
Pay is based on a variety of factors such as location, skill level, qualifications, competencies, and overall experience.
Doxel is an equal opportunity employer and actively seeks diversity at our company. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.