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Data Science Engineer Jobs in California (NOW HIRING)

Adobe

Senior Data Science Engineer

San Jose, CA · On-site

$124K - $168K/yr

They are seeking a Senior Data Science Engineer to develop and implement models that solve complex problems and provide actionable insights from large datasets. Responsibilities : • Develop and ...

Adobe

Senior Data Science Engineer

San Jose, CA · On-site

$133K - $236K/yr

The Opportunity Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact ...

Adobe, Inc.

Senior Data Science Engineer

San Jose, CA · On-site

$133K - $236K/yr

The Opportunity Join Adobe as a Sr Data Science Engineer and be part of a team that is crafting the future of digital experiences. This is your chance to work on brand new projects that impact ...

Prophecy Technologies

Data Scientist

Elk Grove, CA · On-site

We are seeking an experienced Data Science Engineer to join our team. The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision ...

Sandisk

Senior Staff data science engineer

Milpitas, CA · On-site

$120K - $164K/yr

Apply end-to-end data science rigor : problem framing, feature engineering, modeling, validation, and impact measurement * Work with large-scale datasets (e.g., process, yield, test, operational data ...

Sandisk

Senior Staff data science engineer

Milpitas, CA

$120K - $164K/yr

Apply end-to-end data science rigor : problem framing, feature engineering, modeling, validation, and impact measurement * Work with large-scale datasets (e.g., process, yield, test, operational data ...

Sandisk

Senior Staff data science engineer

Milpitas, CA · On-site

$172K - $286K/yr

Apply end-to-end data science rigor : problem framing, feature engineering, modeling, validation, and impact measurement * Work with large-scale datasets (e.g., process, yield, test, operational data ...

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 ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

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 ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Adobe

Data Science Engineer, Payment Risk

San Jose, CA · Remote

$134K - $161K/yr

... Engineers, Product Management, Payments Partnerships and Finance. * Establish Fraud Prevention ... data science practices. * Experiment experimental build & hypothesis testing control groups What ...

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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 Jun 12, 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.

Is AI replacing data scientists?

AI is transforming the role of data science engineers by automating routine tasks and enabling more advanced analysis, but it does not replace the need for skilled professionals who interpret data, develop models, and ensure ethical use. Data scientists and data science engineers are increasingly working alongside AI tools to enhance decision-making and innovation. The demand for expertise in programming, statistical analysis, and machine learning remains strong in the industry.

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 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.

Is 40 too late for data science?

Data Science Engineers can enter the field at any age, as success depends on skills, experience, and continuous learning. Many professionals transition into data science later in their careers by acquiring relevant knowledge in programming, statistics, and tools like Python or R. Age is less important than demonstrated expertise and the ability to adapt to evolving technologies.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this principle to focus on the most impactful variables, optimize models, and prioritize tasks for efficiency.

What is a Data Science Engineer job?

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 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
Senior Data Science Engineer

Senior Data Science Engineer

Adobe

San Jose, CA • On-site

$124K - $168K/yr

Full-time

Posted 18 days ago

Job description

Job Summary:
Adobe is a company that empowers everyone to create through innovative platforms and tools. They are seeking a Senior Data Science Engineer to develop and implement models that solve complex problems and provide actionable insights from large datasets.
Responsibilities:
• Develop and implement models to solve complex problems
• Collaborate with cross-functional teams to determine project requirements and deliverables
• Use proven methodologies to ensure data accuracy and model reliability
• Compete in a dynamic environment to successfully implement innovative solutions
• Analyze and interpret large datasets to provide actionable insights
• Lead initiatives to improve the performance and scalability of our data platforms
Qualifications:
Required:
• Degree or equivalent experience with 7+ years of practical experience
• Strong expertise in statistical analysis, machine learning, and data mining
• Proficiency in programming languages such as Python, R, or Scala
• Experience with big data technologies like Hadoop, Spark, or Kafka
• Ability to strictly adhere to deadlines while maintaining high-quality standards
• Excellent communication skills and a collaborative approach
Company:
Adobe is a software company that provides its users with digital marketing and media solutions. Founded in 1982, the company is headquartered in San Jose, USA, with a team of 10001+ employees. The company is currently Late Stage.
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About Adobe

Sourced by ZipRecruiter

Adobe for All is our vision to advance diversity, equity, and inclusion (DEI) across our company and in our communities. We’re focused on creating a more diverse and inclusive workforce; unleashing the full potential of every employee; and driving meaningful impact for Adobe, our industry, and society at large. Creativity has the power to unite us and inspire us to change the world. Through a vision we call Creativity for All, we’re empowering millions of people of all ages and backgrounds to express themselves, reach their full potential, and share their diverse perspectives with the world. We’re committed to advancing the responsible use of technology and driving a positive environmental impact through sustainability and climate action. Our innovations are making a significant impact across AI ethics, security, privacy, trust and safety, accessibility, and sustainability.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

San Jose, CA, US

Year founded

1982

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