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Data Science Engineer Jobs in California (NOW HIRING)

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

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 · On-site

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 ...

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 ...

Sia Partners'

Data Science

San Francisco, CA · On-site

$90 - $120/hr

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 ...

New

CorVel Corporation

Data Science Manager

Irvine, CA · On-site

$150 - $210/hr

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 ...

New

Meta

Data Science Director (IC)

Menlo Park, CA

$253K/yr

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

Corvel

Data Science Manager

Irvine, CA · Remote

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 Aug 20, 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 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, with an average salary of $128,018 per year, or $61.5 per hour.

Data Science Intern

DEUNA

San Francisco, CA • On-site

Other

Re-posted 21 days ago

Job description

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.

This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.

Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications Required
  • Currently pursuing a Bachelor’s or Master’s degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.
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