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Data Science Developer Jobs in California (NOW HIRING)

Galent

Lead Data Science

San Mateo, CA · On-site

Lead Data Scientist We are seeking a hands-on Lead Data Scientist/Data Engineering Lead to drive end-to-end delivery of data science and data engineering projects within the financial services domain.

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

We are seeking a highly motivated individual to join us as a Data Science Engineer, Manufacturing Sciences and Technology. This role will have hands-on responsibility over all manufacturing process ...

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

We are seeking a highly motivated individual to join us as a Data Science Engineer, Manufacturing Sciences and Technology. This role will have hands-on responsibility over all manufacturing process ...

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 ...

Jj

Manager, Data Science - Oncology

San Diego, CA · On-site +1

Proficiency in data engineering tools such as Python, R and SQL for data processing as well as ... Science, Data Visualization, Developing Others, Digital Fluency, Give Feedback, Inclusive ...

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 ...

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 ...

Walmart

Senior Manager, Data Science

Hayward, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... You will partner closely with product, engineering, operations, and business leaders to identify ...

Boot Barn

Director, Data Science

Irvine, CA

Ensure strong collaboration with Data Engineering and AI/ML Engineering teams to productionize models through robust architecture, MLOps, and scalable infrastructure * Standardize data science best ...

Corvel

Data Science Manager

Irvine, CA · On-site +1

The Manager Data Science is responsible for architecting, building, and deploying production-grade ... You will guide a team in applying best practices for model assessment, feature engineering, 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 ...

Walmart

Senior Manager, Data Science

Milpitas, CA · On-site

$143K - $286K/yr

As a Senior Manager, Data Science, you will lead a team of data scientists and machine learning ... You will partner closely with product, engineering, operations, and business leaders to identify ...

Tatari

Data Science Manager

Los Angeles, CA

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving ...

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Data Science Developer information

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How much do data science developer jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for data science developer in California is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.01 and $66.44 per hour, depending on experience, location, and employer.

What are some common challenges Data Science Developers face when integrating models into production environments?

Data Science Developers often encounter challenges in bridging the gap between developing models in experimental settings and deploying them into scalable, reliable production systems. Issues such as data inconsistencies, version control, and ensuring model reproducibility can arise. Additionally, collaborating effectively with DevOps and engineering teams to automate deployment pipelines and monitor model performance is crucial for long-term success. Understanding both machine learning and software engineering best practices helps overcome these hurdles and ensures smooth, efficient integration.

What is a data science developer?

A data science developer is a professional who combines skills in data analysis, programming, and software development to build and deploy data-driven applications and models. They often work with tools like Python, R, and SQL, and may be involved in creating algorithms, data pipelines, and machine learning solutions to support business decisions.

Is 40 too late for data science?

Data science developers 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 not a barrier if you develop the necessary technical expertise and stay current with industry trends.

What is the 80 20 rule in data science?

The 80/20 rule in data science suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often focus on the most impactful features or data subsets to improve model performance efficiently, using tools like Python or R for analysis.

What are the key skills and qualifications needed to thrive as a Data Science Developer, and why are they important?

To thrive as a Data Science Developer, you need strong expertise in statistics, machine learning, programming (Python, R), and a background in computer science or a related quantitative field. Familiarity with data analysis tools (such as Pandas, NumPy, and scikit-learn), cloud platforms (like AWS or Azure), and experience with databases (SQL/NoSQL) are typically required, and certifications like Microsoft Certified: Azure Data Scientist Associate can be beneficial. Strong problem-solving skills, effective communication, and the ability to collaborate with cross-functional teams help you stand out. These skills are essential for building data-driven solutions that translate complex data into actionable business insights.

What is the difference between Data Science Developer vs Data Analyst?

AspectData Science DeveloperData Analyst
Required SkillsProgramming, machine learning, data modelingData visualization, statistical analysis, reporting
CertificationsData Science certifications, Python/R expertiseExcel, SQL, Tableau certifications
Work EnvironmentTech companies, startups, R&D teamsBusiness departments, marketing, finance
Job FocusDeveloping algorithms, predictive modelsInterpreting data, generating reports

While both roles analyze data, Data Science Developers focus on building models and algorithms to solve complex problems, often requiring programming and machine learning skills. Data Analysts primarily interpret existing data sets to generate insights and reports for business decisions. The roles overlap in data handling but differ in technical depth and objectives.

Which is better, DS or CS?

For a Data Science Developer, both Data Science (DS) and Computer Science (CS) skills are valuable; DS focuses on data analysis, modeling, and machine learning, while CS emphasizes algorithms, programming, and system design. The choice depends on the specific role requirements and career goals, but a strong foundation in programming languages like Python or R and understanding of data management are essential in both fields.
What are popular job titles related to Data Science Developer jobs in California? For Data Science Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Developer jobs in California look for? The top searched job categories for Data Science Developer jobs in California are:
Data Science Developer jobs near you
Infographic showing various Data Science Developer job openings in California as of June 2026, with employment types broken down into 97% Full Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $116,623 per year, or $56.1 per hour.

Lead Data Science

Galent

San Mateo, CA • On-site

Other

Posted 3 days ago

Job description

Lead Data Scientist

We are seeking a hands-on Lead Data Scientist/Data Engineering Lead to drive end-to-end delivery of data science and data engineering projects within the financial services domain. This role will lead a team of data professionals, partner with client stakeholders, and architect scalable analytics and machine learning solutions.

Key Requirements:
Strong expertise in Python and advanced SQL (mandatory)
Experience delivering data science solutions in Banking, Payments, Cards, Lending, or Financial Services
Proven experience leading teams and managing project delivery
Hands-on experience with machine learning, analytics, and large-scale data processing
AWS cloud experience preferred (S3, Glue, EMR, Redshift, SageMaker)
Strong stakeholder management and client-facing communication skills
Experience with Spark, MLOps, CI/CD, and modern data engineering practices is a plus

Responsibilities:
Lead delivery of data science and data engineering initiatives
Manage and mentor a team of data scientists and engineers
Design and deploy scalable analytics and ML solutions
Collaborate with business and technical stakeholders to solve complex data challenges
Ensure quality, governance, and compliance for financial data environments

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

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