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Data Science Software Engineer Jobs in California

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Broad experience with Python programming and software development. * Comprehensive experience applying machine learning, deep learning, or data science methods to real-world problems.

LLNL

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

Broad experience with Python programming and software development. * Comprehensive experience applying machine learning, deep learning, or data science methods to real-world problems. * Intermediate ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Broad experience with Python programming and software development. * Comprehensive experience applying machine learning, deep learning, or data science methods to real-world problems. * Intermediate ...

The Walt Disney Company

Sr Software Engineer

Glendale, CA · On-site

$135K - $181K/yr

Job Posting Title: Sr Software Engineer Req ID: 10149383 At Disney "We Power the Magic!" That's our ... Collaborate with product, business, and data science teams to define system requirements and ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$9.7K/wk

Experience with Python programming and software development, including version control (Git ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Experience with Python programming and software development, including version control (Git ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

LLNL

Data Science Engineer

Livermore, CA · On-site

$121K - $154K/yr

Experience with Python programming and software development, including version control (Git ... Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a ...

Socket.dev

Sr Software Engineer

Glendale, CA · On-site

$141.90 - $190.30/hr

The Senior Software Engineer will report to the Sr Manager, Technology. About The Role & Team We ... Collaborate with product, business, and data science teams to define system requirements and ...

Apple

Software Development Engineer - Data

Cupertino, CA · On-site

$141K - $169K/yr

... Science, Software Engineering, Data Science, or a related technical field OR Hands-on engineering experience and a demonstrable track record of building and maintaining production data systems are ...

Intelliswift Software

Software Engineer

Santa Clara, CA · On-site

$226K - $227K/yr

Analyze specifications, communications, data points, and programming requirements gathered per ... degree in Computer Science, Software Engineering or a related field plus two (2) years of ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... software engineers. Not only do we offer a great team to work with, but we also offer you an ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... software engineers. Not only do we offer a great team to work with, but we also offer you an ...

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All JobsData Science Software Engineer JobsData Science Software Engineer Jobs in California

Data Science Software Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do data science software engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for data science software 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 software engineer?

A Data Science Software Engineer is a professional who combines software engineering skills with data science expertise to build scalable data-driven systems and applications. They design, develop, and optimize software that supports data pipelines, machine learning models, and analytics platforms. Their work bridges the gap between data scientists, who focus on statistical analysis and modeling, and traditional software engineers, who focus on building robust and efficient software systems. Data Science Software Engineers ensure that data solutions are production-ready, scalable, and maintainable.

What are the key skills and qualifications needed to thrive as a data science software engineer?

To thrive as a Data Science Software Engineer, you need strong proficiency in programming (especially Python or R), a solid understanding of statistics and algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data processing tools (like Spark or Hadoop), and cloud platforms (AWS, GCP, or Azure) is essential, as are relevant certifications. Excellent problem-solving abilities, communication skills, and the ability to work collaboratively with cross-functional teams set top performers apart. These competencies are vital for efficiently developing scalable data-driven solutions that drive business insights and innovation.

How does a data science software engineer typically collaborate with data scientists and other stakeholders on projects?

Data Science Software Engineers play a vital role in bridging the gap between data science and software engineering teams. They work closely with data scientists to translate prototypes and models into scalable, production-ready code, and often collaborate with product managers, analysts, and infrastructure engineers to ensure seamless integration. Regular communication and code reviews are essential, as is an iterative development process to address feedback and ensure solutions meet both technical and business requirements. This cross-functional collaboration helps deliver robust data-driven applications that align with organizational goals.

What is the difference between Data Science Software Engineer vs Data Analyst?

AspectData Science Software EngineerData Analyst
Required SkillsProgramming, software development, machine learningData visualization, statistical analysis, reporting
Work EnvironmentSoftware development teams, engineering projectsBusiness units, reporting teams
Common ToolsPython, Java, SQL, ML frameworksExcel, Tableau, SQL, R
Industry UsageTech, finance, healthcare, startupsMarketing, finance, retail, research

While both roles analyze data, Data Science Software Engineers focus on developing software solutions and machine learning models, requiring strong programming skills. Data Analysts primarily interpret data through visualization and statistical methods to support business decisions. The roles often overlap but serve different functions within organizations.

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

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

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

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

Data Science Software Engineer jobs near you
Infographic showing various Data Science Software 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.

Software Engineer, Fleet Simulation (Core Data Science) Software

Front Door Defense

Foster City, CA • On-site

$191 - $266/hr

Other

Medical, Life, PTO

Posted 5 days ago

Job description

Software Engineer, Fleet Simulation (Core Data Science) Build a self-service fleet simulation environment for data scientists and ML engineers

Location: Foster City, California

Compensation: $191,000 - 266,000 USD / year

About The Role Core Data Science Team Role

The Core Data Science team builds the products and data assets that let teams across Zoox measure and improve the autonomy and operational performance of our fleet. In this role, you'll focus on fleet simulation — the environment our data teams use to develop, test, and evaluate the algorithms that orchestrate our autonomous fleet (dispatch, routing, and vehicle assignment) and to understand how those algorithms perform before they reach the road.

You’ll piece together the constituent components into a coherent, easy-to-use simulation environment, filling in the gaps, and building generalizable mechanisms so data scientists can measure their algorithm's impact on fleet efficiency. You’ll join a diverse, experienced team with rapidly growing scope while working with one of the industry's most valuable autonomous vehicle datasets.

In this role, you will:

  • Turn existing fleet-simulation components into a coherent, self-service environment that data scientists and ML engineers can run without deep software expertise.
  • Fill gaps and build the connective tissue between simulation, data, and fleet-orchestration algorithms.
  • Build generalizable mechanisms that let teams measure how their orchestration algorithms affect fleet efficiency.
  • Collaborate with data science, ML, and fleet-orchestration teams to shape and prioritize the simulation roadmap.
  • Establish best practices and processes around simulation, evaluation, and data-driven decision-making.
Qualifications
  • Software development experience in a production environment, with fluency in Python; or demonstrated experience learning new programming languages.
  • Experience building tools, services, or frameworks that make complex systems usable by non-specialist users.
  • Familiarity with any version control system, with preference for Git.
  • Experience designing metrics and building mechanisms that deliver robust, actionable insights.
  • Good communication and collaboration skills.
Bonus Qualifications
  • Basic familiarity with C++ and/or Kotlin.
  • Experience with microservices and/or distributed systems.
  • Experience with simulation and/or fleet orchestration (dispatch, routing, vehicle assignment).

$191,000 - $266,000 a year Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits,

  • paid time off (e.g. sick leave, vacation, bereavement)
  • unpaid time off
  • Zoox Stock Appreciation Rights
  • Amazon RSUs
  • health insurance
  • long-term care insurance
  • long-term and short-term disability insurance
  • life insurance

Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments.

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.

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