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Data Science Engineer Jobs in California (NOW HIRING)

Caltech

Data Science Engineering

Pasadena, CA · On-site

$40.50 - $64/hr

Job Summary The data science engineer will work closely with the PI and his research group to develop computational and data-driven methods supporting research in algebraic geometry, computational ...

Diverse Lynx

ML/AI Engineer

Burbank, CA

Data Science Engineer (Customer Location Los Angels Mason)Role OverviewThe Data Science Engineer will develop scalable ML and Generative AI solutions| specializing in model training| document ...

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All JobsData Science Engineer JobsData Science Engineer Jobs in California

Data Science Engineer information

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$43.9K

$128K

$175.2K

How much do data science engineer jobs pay per year?

As of Jun 17, 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
Data Science Engineering

Data Science Engineering

Caltech

Pasadena, CA • On-site

$40.50 - $64/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

Job description

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.
Job Summary
The data science engineer will work closely with the PI and his research group to develop computational and data-driven methods supporting research in algebraic geometry, computational algebra, and related areas of mathematics and scientific computing. The successful candidate will contribute to the design and implementation of algorithms, symbolic computation systems, data processing pipelines, and machine learning.
Essential Job Duties
  • Develop computational and data-driven methods supporting research in algebraic geometry, computational algebra, and related areas of mathematics and scientific computing
  • Contribute to the design and implementation of algorithms, symbolic computation systems, data processing pipelines, and machine learning
  • Perform other related duties as assigned
Basic Qualifications
  • Background in Computer Science, Statistics, or Mathematics
  • Strong programming skills in Python and R
  • Background in algebraic geometry, computational algebra, and symbolic computation
  • Experience with algorithm development and research
Preferred Qualifications
  • Strong programming skills in SQL and PyTorch
  • Familiarity with cloud computing, high-performance computing platforms and distributed computing environments
  • Familiarity with containerization and orchestration technologies
  • Experience building, deploying, and maintaining data pipelines, analytical workflows, and machine learning systems in production or research environments
  • Experience with version control, testing, and software engineering best practices
Required Documents
  • Resume

Hiring Range
$40.50 - $64.00 per hour
The salary of the finalist(s) selected for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, specialty and training.
As one of the largest employers in Pasadena, CA, Caltech is committed to providing comprehensive benefits to eligible employees and their eligible dependents. Our benefits package includes competitive compensation, health, dental, and vision insurance, retirement savings plans, generous paid time off (vacation, holidays, sick time, parental leave, bereavement, etc.), tuition reimbursement, and more. Non-benefit eligible employees will have access to some benefits such as onsite counseling and sick time. Learn more about our benefits and staff perks.
EEO Statement
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law.
Caltech is a VEVRAA Federal Contractor.
To read more Equal Employment Opportunity (EEO) go to eeoc_self_print_poster.pdf.
Disability Accommodations
Caltech complies with the Fair Employment and Housing Act (FEHA) and the Americans with Disabilities Act (ADA). We consider reasonable accommodation measures that may be necessary for eligible applicants and employees to perform the essential functions of a position.
If you would like to request an accommodation to complete this application, interview, or otherwise participate in the employee selection process, please contact Caltech Recruiting at employment@caltech.edu.
Additionally, if you do not meet the basic qualifications of a role but believe you can perform the essential functions of the job with reasonable accommodation, please reach out to Caltech Recruiting at employment@caltech.edu.

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