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Remote Full Stack Data Scientist Jobs in California

Align Technology, Inc.

Sr. Data Scientist

San Jose, CA · On-site +1

Apply full-stack data science skills, including data extraction, exploratory and confirmatory analysis, modeling, and validation * Design and develop advanced ML or Agentic AI solutions, including ...

Trabus Technologies

Full Stack Engineer

San Diego, CA · On-site +1

Full Stack Engineer Location: San Diego, CA Job Type: Full-Time Salary Range: Based on Experience ... Collaborate with software engineers, data scientists, and project teams to architect scalable ...

Fincons US

Full Stack Developer

Los Angeles, CA · On-site +1

... data, content, and business intelligence solutions. Fincons US combines deep industry knowledge ... This is a remote position supporting teams and stakeholders in the Los Angeles market. The Full ...

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 ...

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 ...

Vianai Systems

Full Stack Developer

Palo Alto, CA · On-site +1

$110K - $160K/yr

As a full-stack developer, you would touch nearly every aspect of our business and work in cross ... to leverage causal data science, drive deeper intelligence into decision making and improve ...

Vianai Systems

Full Stack Developer

Palo Alto, CA · On-site +1

$110K - $160K/yr

As a full-stack developer, you would touch nearly every aspect of our business and work in cross ... to leverage causal data science, drive deeper intelligence into decision making and improve ...

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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.

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.

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.

Can I work remotely as a full stack data scientist?

Yes, many full stack data scientist roles are available for remote work, especially in companies that prioritize flexible work arrangements. These positions often require proficiency in programming, data analysis, and cloud tools, and may involve collaboration across time zones. Remote work opportunities depend on the company's policies and the specific job requirements.

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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Full Stack Data Engineer : 26-02060

Santa Clara, CA • On-site, Remote

Akraya Inc.
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Akraya Inc.external

$80 - $85/hr

Temporary

This job post has expired 1 day ago. Applications are no longer accepted.

Job description


Primary Skills: Data Engineering (Expert), Python (Expert), Google Cloud Platform - BigQuery & Vertex AI (Advanced), Machine Learning & AI (Advanced), SQL (Expert)
Contract Type: W2 Only
Duration: 9+ Months
Location: Santa Clara, CA.Remote (Anywhere in the U.S.)
Pay Range: $80 - $85 on W2
Job Summary:
We are seeking a Staff Data Engineer, Full Stack to design and build scalable data platforms while driving AI/ML initiatives that deliver actionable business insights. This hybrid Data Engineering and Data Science role requires expertise in data pipelines, cloud-based analytics, machine learning, and generative AI to develop robust analytical datasets, deploy production-grade ML models, and enable customer analytics solutions across the enterprise.
Key Responsibilities:
  • Design, develop, and maintain scalable data architectures and analytical datasets for reporting, business intelligence, and machine learning.
  • Build and optimize batch and real-time data pipelines using cloud-native technologies.
  • Develop, deploy, and monitor machine learning models for customer analytics, churn prediction, marketing attribution, and business optimization.
  • Design feature engineering pipelines and support end-to-end AI/ML model lifecycle from development through production.
  • Implement AI-powered solutions and optimize Generative AI/LLM-based applications and AI agents.
  • Partner with Product, GTM, Customer Success, Finance, and Engineering teams to translate business challenges into data-driven solutions.
  • Develop dashboards and visualizations using Tableau, Looker, or similar BI tools.
  • Perform code reviews, improve engineering best practices, and support scalable, secure cloud-based data platforms.
Must-have Skills:
  • 8+ years of experience in Data Engineering, Data Science, or Analytics Engineering.
  • Expert-level programming skills in Python and advanced SQL.
  • Strong experience designing and maintaining scalable data pipelines for analytics and machine learning.
  • Experience implementing Big Data solutions for batch and real-time processing.
  • Hands-on experience with Google Cloud Platform (GCP), including BigQuery and Vertex AI.
  • Experience building optimized analytical datasets for reporting, feature engineering, and business intelligence.
  • Experience developing dashboards using Tableau, Looker, or similar visualization platforms.
  • Strong knowledge of cloud data architecture, ETL/ELT frameworks, and data modeling.
  • Excellent analytical, problem-solving, and stakeholder communication skills.
Nice-to-have Skills:
  • Experience with Generative AI, LLMs, LangChain, LlamaIndex, or Hugging Face frameworks.
  • Experience evaluating and optimizing AI agents and conversational AI systems.
  • Knowledge of causal inference, time-series forecasting, and advanced statistical modeling.
  • Experience implementing data security, governance, and role-based access controls.
  • Background in Customer Analytics, Customer Success, Marketing Analytics, or Professional Services.
  • Experience with streaming technologies and modern data orchestration frameworks.
Preferred Qualifications:
  • MS or PhD in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field.
  • Proven experience delivering end-to-end AI/ML solutions in cloud environments.
  • Experience working in Agile environments with modern software engineering and DevOps practices.
  • Strong ability to lead technical initiatives, work independently, and drive projects from concept through production deployment.

ABOUT AKRAYA
Akraya is an award-winning IT staffing firm consistently recognized for our commitment to excellence and a thriving work environment. Most recently, we were recognized Stevie Employer of the Year 2025, SIA Best Staffing Firm to work for 2025, Inc 5000 Best Workspaces in US (2025 & 2024) and Glassdoor's Best Places to Work (2023 & 2022)!
Industry Leaders in Tech Staffing
As Talent solutions provider for Fortune 100 Organizations, Akraya's industry recognitions solidify our leadership position in the IT staffing space. We don't just connect you with great jobs, we connect you with a workplace that inspires!
Join Akraya Today!
Let us lead you to your dream career and experience the Akraya difference. Browse our open positions and join our team!
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About Akraya

Sourced by ZipRecruiter

Akraya is an award-winning IT staffing firm and the staffing partner of choice for many leading companies across the US. Akraya was recently voted as a 2021 Best Staffing Firm to Temp for by Staffing Industry Analysts and voted by our employees and consultants as a 2022 Glassdoor Best Places to Work.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Santa Clara, CA, US

Year founded

2001

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