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Data Science Engineer Jobs in California (NOW HIRING)

Figma

Director, Data Science

San Francisco, CA · On-site +1

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 ...

DD-Scientific Data

Scientific Data Engineer

Bodega Bay, CA · On-site

$135K - $163K/yr

Master's or PhD in Computer Science or related field, with 5 or more years of professional ... programming interfaces (APIs) for scientific data analysis and management How to apply: In addition ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

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

Tapestry

Data Science Manager

Mountain View, CA · On-site

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

Five9

Vice President, Data Science

San Ramon, CA

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 ...

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 ...

Sia Partners'

Data Science

San Francisco, CA · On-site

You will play a key role in bridging the gap between Data Scientists, Machine Learning Engineers, and Platform Engineers to deliver tangible business value through AI. You will guide clients toward ...

Info Way Solutions

Data Science

Fremont, CA · On-site

Info Way Solutions is seeking a Data Science professional to join their team. The role involves ... engineering, information extraction, structured prediction, clustering, semi-supervised learning ...

Corvel

Data Science Manager

Irvine, CA · On-site

$119K - $197K/yr

Partner with engineering teams to build and support data pipelines using technologies such as Azure Data Factory or comparable tools * Work closely with development teams across the full SDLC ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in California

Data Science Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data science engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for data science engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a data science engineer?

A Data Science Engineer is a professional who bridges the gap between data science and software engineering. They focus on designing, building, and maintaining scalable data pipelines, infrastructure, and machine learning models for production use. Their role involves data preprocessing, model deployment, performance optimization, and integrating AI solutions into applications. They work closely with data scientists, software engineers, and DevOps teams to ensure efficient data workflows.

What are the typical daily responsibilities of a data science engineer?

Data Science Engineers typically spend their days designing and building data pipelines, preparing and cleaning large datasets, and developing machine learning models to solve business problems. They work closely with data scientists, software engineers, and business stakeholders to translate requirements into scalable technical solutions. Responsibilities also include deploying models to production, monitoring their performance, and iterating on solutions based on feedback. This role offers a dynamic mix of coding, data analysis, and teamwork, making each day varied and intellectually engaging.

What are the key skills and qualifications needed to thrive in the data science engineer position, and why are they important?

A Data Science Engineer should have a strong background in statistics, machine learning, programming (typically Python or R), and data engineering, often supported by a degree in computer science, engineering, or a related field. Familiarity with data processing frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and certifications in data science or cloud technology are highly valued. Excellent problem-solving skills, communication abilities, and collaboration are essential soft skills for working effectively in cross-functional teams. These competencies enable Data Science Engineers to build scalable data solutions, deliver actionable insights, and drive business impact.

What does a data science engineer do?

A data science engineer designs, develops, and maintains data pipelines and infrastructure to support data analysis and machine learning models. They work with large datasets, use programming languages like Python or Scala, and often collaborate with data scientists and software engineers to implement scalable data solutions.

What are popular job titles related to Data Science Engineer jobs in California?

For Data Science Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Science Engineer jobs in California look for?

The top searched job categories for Data Science Engineer jobs in California are:

What cities in California are hiring for Data Science Engineer jobs?

Cities in California with the most Data Science Engineer job openings:

Data Science Engineer jobs near you
Infographic showing various Data Science Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 66% Full Time, 30% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Director, Data Science

San Francisco, CA • On-site, Remote

Figma
Specialized Design Services • 1 - 5K employees
Learn more about Figmaexternal

Full-time

Re-posted 11 days ago

Job description

The AI Product's Data Science org is at the center of the next generation of products at Figma, spanning Make, Figma Agent, Design Systems, and other areas. Data is critical to setting strategy and measurement across these areas. This org engages closely with AI Research and is a driving force behind our evals work and the future of product measurement at scale. 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 frameworks, and incorporate data within Figma's product development process. This team contributes to the company's goals by collaborating closely with product managers, engineers, and our finance team to uncover new opportunities, identify inefficiencies and recommend improvements through data-driven insights.
As Director, you will lead a team of data scientists and managers, setting the vision for how data shapes strategy across Figma's AI products. You'll work closely with Product, Engineering, Design, and Research leadership to embed data-driven thinking and modern AI-product measurement into how we build.
This is a full time role that can be held from one of our US hubs or remotely in the United States.

What you'll do at Figma:
  • Lead, support, and grow a team of data scientists and data science managers with varied strengths and expertise focused on product strategy, internal tooling, and Impact measurement
  • Champion data quality, accessibility, and the democratization of data across the company
  • Establish trust within and across teams by creating accountability and a positive work environment in partnership with other leaders in the organization
  • Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact
  • Shape how we measure AI products: evals, quality, and experimentation for LLM-powered assistants and agents in partnership with AI Research
We'd love to hear from you if you have:
  • 8+ years of experience managing and leading high output Data Science teams, with at least 2 years managing other managers
  • 7+ years of experience working in AI, Data Science, or a related field
  • Proven experience building or measuring AI products, ideally LLM-powered assistants, agents, chatbots, or copilots
  • Demonstrated expertise in statistical methods, experimentation, and/or forecasting, with the technical curiosity to learn and grow alongside your team
  • Ability to scale teams in high-growth environments, with a desire to build an inclusive and diverse culture
While not required, it's an added plus if you also have:
  • Experience owning 0 to 1 product areas
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

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