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Front End Data Science Developer Jobs in California

MiniMed

AI/Data Science Engineer II

Northridge, CA · On-site

$122K - $147K/yr

About the Role This AI/Data Science Engineer II role is focused on delivering big-data analytics solutions that drive decision support for the business. This role bridges advanced data engineering ...

CookUnity

Director, Data Science/ML

Los Angeles, CA

Partner closely with Product, Growth, Engineering, and UX leadership to influence product roadmap ... Act as a thought leader on emerging data science techniques (personalization, recommendation ...

Walmart

Senior Manager, Data Science

Sunnyvale, CA · On-site

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... You will partner closely with product, engineering, operations, and business leaders to identify ...

DEUNA

Data Science intern

San Francisco, CA · On-site

Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives. * Document analyses, methodologies, and project findings. * Participate in team meetings, knowledge-sharing ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving ...

MiniMed

AI/Data Science Engineer II

Los Angeles, CA

$123K - $148K/yr

About the Role ThisAI/Data Science Engineer IIrole is focused on delivering big-data analytics solutions that drive decision support for the business. This role bridges advanced data engineering with ...

DEUNA

Data Science intern

San Francisco, CA

Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives. * Document analyses, methodologies, and project findings. * Participate in team meetings, knowledge-sharing ...

Tatari

Data Science Manager

San Francisco, CA

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving ...

Boot Barn

Director, Data Science

Irvine, CA

$150K - $200K/yr

Ensure strong collaboration with Data Engineering and AI/ML Engineering teams to productionize models through robust architecture, MLOps, and scalable infrastructure * Standardize data science best ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving ...

Tatari

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving ...

SpaceX

Software Engineer, Data (Starlink)

Hawthorne, CA · On-site

$115K - $139K/yr

Required : • Bachelor's degree in computer science, data science, engineering, math, physics, or ... • Frontend experience in Angular, React, or similar JavaScript frameworks • Experience ...

Boot Barn

Director, Data Science

Irvine, CA · On-site

$150K - $200K/yr

Ensure strong collaboration with Data Engineering and AI/ML Engineering teams to productionize models through robust architecture, MLOps, and scalable infrastructure * Standardize data science best ...

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Front End Data Science Developer information

What is a Front End Data Science Developer?

A Front End Data Science Developer is a professional who combines skills in data science and front-end web development. They are responsible for developing interactive web applications that visualize and communicate data insights to users. Their work often involves using JavaScript frameworks, data visualization libraries, and integrating machine learning models or analytics into user-friendly dashboards. This role bridges the gap between complex data processes and end-users by creating intuitive interfaces for exploring and understanding data.

How do Front End Data Science Developers typically collaborate with data scientists and back-end engineers on projects?

Front End Data Science Developers play a crucial bridge role by transforming complex data outputs into interactive and intuitive visualizations for end-users. They frequently collaborate with data scientists to understand model outputs and with back-end engineers to ensure seamless data flow and API integration. Regular meetings, shared documentation, and version control systems help align the team, while tools like Jupyter, React, and D3.js are commonly used for effective collaboration. Open communication and a clear understanding of user needs are essential for translating technical insights into actionable, user-friendly interfaces.

What are the key skills and qualifications needed to thrive as a Front End Data Science Developer, and why are they important?

To thrive as a Front End Data Science Developer, you need strong programming skills in JavaScript, HTML, and CSS, along with a solid understanding of data visualization and analytical methods, often supported by a degree in computer science or a related field. Familiarity with frameworks like React or Angular, data visualization libraries such as D3.js, and tools like Jupyter or Tableau is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into accessible user interfaces. These competencies ensure that data-driven insights are presented clearly and interactively, enabling better decision-making and user engagement.
What are popular job titles related to Front End Data Science Developer jobs in California? For Front End Data Science Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Front End Data Science Developer jobs in California look for? The top searched job categories for Front End Data Science Developer jobs in California are:
Front End Data Science Developer jobs near you
Infographic showing various Front End Data Science Developer job openings in California as of June 2026, with employment types broken down into 78% Full Time, 17% Part Time, 2% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
AI Applications and Data Science Engineer

AI Applications and Data Science Engineer

CXApp, Inc

San Ramon, CA • On-site

$127K - $153K/yr

Full-time

Medical, Dental, Retirement

Posted 5 days ago

Job description

Who We Are
CXAPP is a forward-thinking technology company that leverages AI and data science to drive innovation and deliver cutting-edge solutions. At CXApp, we are the innovators of Indoor Intelligence, delivering actionable insights for people, places and things. Our flagship product "CXAI" (formerly CXApp) is a workplace experience platform for the enterprise. Our technologies and solutions help enterprise customers deliver a comprehensive business journey in a work 'from-anywhere' world for employees, partners, customers, and visitors.
We take pride in the way we positively impact the daily lives of our customers and continue to push the boundaries of how our platform can benefit others.
Job Description:
As an AI Applications and Data Science Engineer at CXAPP, you will be at the forefront of our AI and data-driven initiatives. You will play a pivotal role in designing and developing AI-driven applications and systems, including NLP-powered chatbots, predictive analytics models, recommendation engines, and data automation solutions. This role offers a unique opportunity to work on exciting projects and make a meaningful impact on our organization and clients.
Key Responsibilities:
  1. NLP and Chatbot Development: Lead the design, development, and maintenance of NLP-powered chatbots and virtual assistants to enhance user experiences and automate interactions.
  2. Predictive Analytics: Design and implement predictive models to forecast trends, user behavior, and business outcomes, providing data-driven insights.
  3. Recommendation Systems: Develop recommendation engines that personalize content, products, or services for users, optimizing engagement and satisfaction.
  4. Data Engineering: Build robust data pipelines, data lakes, and ETL processes to collect, preprocess, and transform data for analysis and modeling.
  5. Automation: Implement automation solutions for repetitive tasks, optimizing efficiency and reducing manual workloads.
  6. AI Integration: Collaborate with cross-functional teams to integrate AI and data science capabilities into existing systems and applications.
  7. Performance Optimization: Optimize the performance and scalability of AI applications, ensuring real-time responsiveness.
  8. Data Security and Compliance: Implement data security measures and ensure compliance with relevant data privacy regulations (e.g., GDPR).
  9. Documentation: Maintain comprehensive documentation for AI models, data pipelines, and automation processes.
  10. Collaboration: Work closely with data scientists, software developers, product managers, and business stakeholders to translate requirements into AI solutions.
  11. Continuous Learning: Stay up-to-date with the latest AI and data science trends, technologies, and best practices.

Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
  • Proven experience in NLP and chatbot development.
  • Strong expertise in predictive analytics and recommendation systems.
  • Proficiency in data engineering, ETL processes, and data automation.
  • Hands-on experience with AI and data science tools and frameworks.
  • Programming skills in Python, Java, or relevant languages.
  • Knowledge of cloud platforms (e.g., AWS, Azure) for AI and data solutions.
  • Understanding of data security and compliance regulations.
  • Excellent problem-solving and communication skills.
  • A collaborative and innovative mindset.
  • Commitment to continuous learning and professional development.

Benefits:
  • Competitive salary and performance-based bonuses.
  • Comprehensive health, dental, and retirement plans.
  • Opportunities for professional development and growth.
  • A dynamic and collaborative work environment.
  • The chance to work on cutting-edge AI projects with a talented team.

Join our team of talented engineers and make a significant impact by developing cutting-edge software solutions that empower businesses to harness the power of analytics and AI. Apply now and be part of our exciting journey towards innovation and digital transformation.

Apply