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Front End Data Science Developer Jobs in California

... Science, Mathematics, Statistics, or a related field. * Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment. * Strong proficiency in programming languages ...

Data Science Engineer

San Francisco, CA · On-site

$134K - $162K/yr

We seek a data scientist to join theCreativity & Productivityfinance team to refine and implement ... Analyze data toidentifyor resolve operational problems to create processes to reverse engineer ...

Frontend Developer

Palo Alto, CA · On-site +1

$110K - $160K/yr

Our ideal Frontend Developer is hands-on, collaborative, self-motivated, and innovative. She or he ... The candidate will be part of the ML data science and engineering team to build complex interfaces ...

Frontend Developer

Palo Alto, CA · On-site +1

$110K - $160K/yr

Our ideal Frontend Developer is hands-on, collaborative, self-motivated, and innovative. She or he ... The candidate will be part of the ML data science and engineering team to build complex interfaces ...

... frontend, data) for converting data to insights. * Mentor junior members of the team ... computer science, informatics, engineering, applied mathematics, economics, etc. * 5+ years of ...

New

With a charge to uplevel Figma's use of data, the team works alongside other Data Scientists and Engineering to identify ways to implement and democratize new statistical methods, build data ...

Data Scientist

San Diego, CA

$108K - $187K/yr

  • Medical

  • Life

  • PTO

... science and engineering principles to develop data architecture and predictive models in support of sector initiatives. They will work directly with frontend data visualization specialists, and ...

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

  • Medical

We are seeking a highly motivated individual to join us as a Data Science Engineer, Manufacturing Sciences and Technology. This role will have hands-on responsibility over all manufacturing process ...

Data Science Manager

Mountain View, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with engineering, product, power system experts, and external partners to translate high-level business goals into rigorous data science roadmaps. * Executive Communication: Persuasively ...

Data Science Manager

Mountain View, CA

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Collaborate with engineering, product, power system experts, and external partners to translate high-level business goals into rigorous data science roadmaps. * Executive Communication: Persuasively ...

The data science team is very much applied - their work directly makes its way into real products ... Data Engineering & Curation * Expertise in large-scale data collection, labeling, cleaning, and ...

Data Science Lead

Milpitas, CA · On-site +1

$148K - $168K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Science Lead Job Code: A011.4794 Job Location: Milpitas, CA Job Type: Full-Time Rate of Pay ... Draw on a wide palette of optimization modeling, mathematics, statistics, AI/ML, and programming ...

Showing results 21-40

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?

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 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:

Infographic showing various Front End Data Science Developer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 9 days ago


Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.