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Data Science Apprentice Jobs in California (NOW HIRING)

Pro-Dex Inc

Supplier Quality Engineer 1

Irvine, CA · On-site

$65K - $75K/yr

Responsible for data integrity and statistical analysis and trending of NCM processes. Support QA ... Scientific, Engineering or Quality Technology discipline. MENTAL, PHYSICAL AND VISUAL DEMANDS:

Pro-Dex, Inc.

Supplier Quality Engineer 1

Irvine, CA · On-site

$65K - $75K/yr

Responsible for data integrity and statistical analysis and trending of NCM processes. Support QA ... Scientific, Engineering or Quality Technology discipline. MENTAL, PHYSICAL AND VISUAL DEMANDS:

Epsilon3

Senior Product Designer

Los Angeles, CA

$130K - $190K/yr

Data Visualization: Architecting visualizations for high-bandwidth data streams and telemetry that ... Masters or Bachelor's Degree in HCI, Design, Computer Science, or a related technical field.

Epsilon3

Senior Product Designer

Los Angeles, CA · On-site

$130K - $190K/yr

  • Medical

  • Retirement

  • PTO

Data Visualization: Architecting visualizations for high-bandwidth data streams and telemetry that ... Masters or Bachelor's Degree in HCI, Design, Computer Science, or a related technical field.

Epsilon3

Senior Product Designer

Los Angeles, CA

$130K - $190K/yr

  • Medical

  • Retirement

  • PTO

Data Visualization: Architecting visualizations for high-bandwidth data streams and telemetry that ... Masters or Bachelor's Degree in HCI, Design, Computer Science, or a related technical field.

Mark III Construction

Electrical Estimator

Sacramento, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you are an electrical apprentice, this positions hours will not go towards your apprenticeship ... care, and data centers. This role works closely with project managers, engineers, general ...

Mark III Construction

Electrical Estimator

Sacramento, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you are an electrical apprentice, this positions hours will not go towards your apprenticeship ... care, and data centers. This role works closely with project managers, engineers, general ...

Mark III Construction

Electrical Estimator

Sacramento, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you are an electrical apprentice, this positions hours will not go towards your apprenticeship ... care, and data centers. This role works closely with project managers, engineers, general ...

Abbott

Senior Specialist Quality Assurance

Lake Forest, CA · On-site

$87K - $120K/yr

  • Medical

  • Retirement

Handle data requests from other departments pertaining to risk or field action data. * Serve as a ... Apprenticeship or Bachelor's degree in Life Science; Engineering; or closely related discipline is ...

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How much do data science apprentice jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data science apprentice in California is $22.51, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $24.90 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data science apprentice, and why are they important?

To thrive as a Data Science Apprentice, you need a solid understanding of statistics, programming (often Python or R), and foundational knowledge in data analysis, usually supported by relevant coursework or a degree in a related field. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is commonly expected. Curiosity, problem-solving ability, and effective communication help apprentices stand out by enabling them to learn quickly and convey complex findings clearly. Mastering these skills ensures you can contribute to data-driven projects and grow into more advanced roles in the field.

What is a data science apprentice?

A Data Science Apprentice is an entry-level professional who is learning the skills required to become a data scientist, often through a structured apprenticeship program. They work under the guidance of experienced data scientists to gain hands-on experience in analyzing data, building models, and using data science tools and techniques. Apprenticeships typically combine on-the-job training with classroom instruction, allowing apprentices to develop both practical and theoretical knowledge. The goal is to prepare apprentices for a full-time role in data science by the end of the program.

How do data science apprentices typically collaborate with senior data scientists and other departments?

As a Data Science Apprentice, you'll often work closely with senior data scientists through mentorship and project-based tasks. Collaboration usually involves assisting with data cleaning, exploratory analysis, and supporting model development under supervision. You'll also interact with team members from engineering, product, or business departments to understand project goals and present findings. This cross-functional teamwork helps you build both technical and communication skills, preparing you for more independent roles in the future.

What are the most commonly searched types of Data Science jobs in California?

The most popular types of Data Science jobs in California are:

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

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

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

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

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Cities in California with the most Data Science Apprentice job openings:

Data Science Apprentice jobs near you
Infographic showing various Data Science Apprentice job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $46,828 per year, or $22.5 per hour.

Associate, Full-Stack Engineer (Python/React) - SMA Solutions

BlackRock

San Francisco, CA • Hybrid

Full-time

Medical, Retirement

Re-posted 21 days ago

BlackRock rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

About this role

About BlackRock SMA Solutions:

At BlackRock SMA Solutions, our strategies are designed to put our clients' and their clients' interests at the center of our investment advice; to minimize costs and taxes; and to incorporate each client's uniquevalues-aligned preferences into their investment portfolio. Offering a full suite of tools for our clients, from direct-indexing to active equity and fixed income strategies-withevolutiona constant part of our game.

As a business, we are fast-growing and our systems need to grow along with it. We are looking for engineers who like to innovate and seek complex problems. We recognize that strength comes from teams with a variety of perspectives, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. Engineers looking to work in the areas of orchestration, data modeling, data pipelines, APIs, storage, distribution, distributed computation,consumptionand infrastructure are ideal candidates.

About this Role:

We are expanding the team of engineers thatownsandoperatesour extensive data platform underpinning the SMA business. In this role, you will contribute across the full technology stack,building user-facing applications, developing backend services, and evolving our data platform to support a wide range of business needs.

As a full-stack engineer on the team, you will design and deliver end-to-end solutions that enable users to generate, consume, and interact withdata atscale. This includes developing intuitive front-end interfaces, building scalable backend services and APIs, and enhancing data pipelines and storage systems. You will work closely with stakeholders to understand requirements and ensure data and applications are reliable,timely, and of high quality.

Key Responsibilities:

  • Own feature development end-to-end, from front-end user interfaces to backend services and data layer enhancements

  • Design, build, andmaintainscalable applications and APIs that enable interaction with the firm's data platform

  • Develop and enhance data pipelines and services that generate and consume data from diverse systems

  • Collaborate with stakeholders to translate business needs into technical solutions and user-facing tools

  • Support deployment, monitoring, and reliability of applications and services in production environments

  • Troubleshoot issues in live systems and provide real-time support for critical problems

  • Continuouslyimproveplatform capabilities through modernization and adoption ofnew technologies

  • Write clean, maintainable, and well-documented code that can be easily understood by other team members

  • Stay current with developments in technologies across front-end, backend, and data ecosystems

Requirements:

  • BA/BS in Computer Science or equivalent practical experience

  • At least 3+ years of post-university experience as a full-stack engineer

  • Strong understanding of programming fundamentals-algorithms, data structures, design patterns, and paradigms

  • Proficiencyin Python and experience building backend services or APIs

  • Experience with web development and front-end frameworks (e.g., React, Angular, or similar)

  • Solid knowledge of SQL and relational databases

  • Experience designing and working with distributed systems or service-oriented architectures.

  • Ability to troubleshoot problems in live environments and provide real-time support

  • Strong communicationskills and ability to collaborate across business and technical teams

  • Ability to work effectively in a fast-paced, interdisciplinary environment

Desirable Additional Qualifications:

  • Experience working in cloud environments (AWS, Azure, or GCP)

  • Experience with data warehousing solutions (e.g., Snowflake) and large-scale analytics environments

  • Familiarity with DAG-based job scheduling tools

  • Experience with containerization and orchestration platforms (e.g., Docker, Kubernetes)

  • Experience in the Financial Services industry

For San Francisco, CA Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.


Guidance on AI use for candidates


At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidanceon when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.


About BlackRock


At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.


This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.


To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.View theEEOC's Know Your Rights poster and its supplementand thepay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with ourprivacy policy.

We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person's appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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