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Data Science Apprentice Jobs in California (NOW HIRING)

Strong foundation in computer science concepts (algorithms, data structures, object-oriented ... benefits, training, and apprenticeship. Epsilon3 makes hiring decisions based solely on ...

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Data Science Apprentice information

See California salary details

$11

$22

$35

How much do data science apprentice jobs pay per hour?

As of Jun 13, 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 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:
What cities in California are hiring for Data Science Apprentice jobs? Cities in California with the most Data Science Apprentice job openings:
Infographic showing various Data Science Apprentice job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,828 per year, or $22.5 per hour.
Software Engineer

$120K - $180K/yr

Full-time

Medical, Retirement, PTO

Posted 16 days ago


Job description

Epsilon3 is a multi-product operations management platform revolutionizing the way teams build, launch, and operate spacecraft and other advanced hardware systems.

Launched in 2021, our company is led by engineers from SpaceX, Google, and NASA, who have experience supporting over 100 space missions. Innovative teams at Blue Origin, Rocket Lab, Axiom Space, Firefly Aerospace, and many others depend on our web-based (SaaS) solutions to plan and track high-stakes procedures. We raised a $15M Series A funding round led by Lux Capital, Y Combinator (YC S21), and other world-class investors.

We're looking for Software Engineers who are interested in space exploration and passionate about building scalable, reliable software. You will be responsible for creating delightful user experiences that solve very complex problems. We are currently using technologies such as Node.js, React, Llama, Postgres, AWS GovCloud, Docker, and Kubernetes, and we expect our stack to evolve over time as we scale our solutions and approach.

This is an impactful role within a fast-paced startup. The ideal candidate is someone who has experience designing and implementing software systems from requirements to production and deployment.
The Technical Challenges We're Undertaking
  • Real-time synchronization of data and user interfaces across Earth and space
  • Visualization of many complex data fields
  • Integration of multiple high-bandwidth data streams for real-time processing and display
  • Multiple deployment environments, including cloud and on-premises
  • Mission-critical security and reliability requirements
  • Supporting complex workflows and detailed tracking while also maintaining intuitive and delightful user experiences
  • Impactful AI/ML features that boost team efficiency and enable fast, data-driven decisions
Responsibilities
  • Design, build, test, and release our web-based operational dashboards, electronic procedure tools, and a suite of specialized software solutions to support various space missions
  • Create software to support simple and complex computation on datasets for decision-making and autonomous execution
  • Build and deploy high-quality code on a daily basis for rapid iteration and testing with users
  • Design APIs and integration solutions for various proprietary and open-source telemetry and command and control systems
  • Rapidly prototype demos and proof-of-concepts for customer meetings
  • Join and actively participate in customer discovery calls and technical demonstrations
  • Analyze and enhance the efficiency, stability, and scalability of software systems
  • Support software QA and user testing
  • Assess third-party and open-source software and develop integrations
  • Contribute to the growth and refinement of our engineering culture, processes, and tools
Qualifications
  • 3+ years of experience as a Software Engineer
  • Proficiency with TypeScript and with JavaScript frameworks like React, Vue, Angular, or Svelte
  • Strong foundation in computer science concepts (algorithms, data structures, object-oriented programming, design, testing, etc.)
  • Self-starter and able to navigate ambiguity and assess rapidly evolving priorities
  • Strong team player with great communication skills and collaborative work ethic
  • Love of learning (technical and otherwise)
  • Experience at fast-growing tech startups is a plus
  • Experience with Lean Startup & Agile software development methodologies is a plus
  • Bachelor's Degree in Computer Science or related field
  • US Citizenship required (future security clearance may be required)
  • Must be located in the United States
$120,000 - $180,000 a year
Salary range
Perks:

This full-time role includes stock options, generous PTO, health insurance, and a 4% 401k match.

Epsilon3 is an equal opportunity employer committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. Epsilon3 makes hiring decisions based solely on qualifications, merit, and business needs at the time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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