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Data Scientist Apprentice Jobs in California (NOW HIRING)

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Tax and Audit The program is structured as a high-engagement cohort-based apprenticeship experience ...

eBay, Inc.

DoD SkillBridge - Honor Role

San Jose, CA · On-site

$121K - $162K/yr

... Apprenticeship Program eBay proudly offers the Honor Role Apprenticeship Program through the ... Education: Bachelor's degree or equivalent in Computer Science, Engineering, Cybersecurity, or ...

Lancesoft

Chemist II

Northridge, CA · On-site

$40 - $42/hr

Analyze raw data, interpret results, and prepare technical reports. * Investigate laboratory ... Bachelor's degree in Chemistry, Analytical Chemistry, Biochemistry, Pharmaceutical Sciences, or a ...

Uncommon Schools

Pre-K Teacher

Riverside, CA

... science and social studies). * You'll collaborate with the teaching team (lead & apprentice teachers) to facilitate free-choice centers and small group instruction. 2. Data Analysis * You'll meet ...

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All JobsData Scientist Apprentice JobsData Scientist Apprentice Jobs in California

Data Scientist Apprentice information

See California salary details

$45.4K

$162.9K

$240.3K

How much do data scientist apprentice jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data scientist apprentice in California is $162,857.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,800.00 and $167,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the data scientist apprentice position, and why are they important?

To thrive as a Data Scientist Apprentice, you should have a foundational understanding of statistics, programming (such as Python or R), and data analysis, often supported by a relevant degree or coursework. Familiarity with tools like SQL, Jupyter Notebooks, and data visualization software, as well as exposure to machine learning libraries, is highly beneficial. Strong analytical thinking, curiosity, and effective communication skills will help you learn quickly and contribute within a team. These competencies are crucial for extracting actionable insights from data and growing into more advanced data science roles.

What kinds of projects or tasks can I expect to work on as a data scientist apprentice?

As a Data Scientist Apprentice, you'll typically assist with tasks such as data cleaning, collecting and preparing datasets, generating visualizations, and supporting more senior data scientists in building and evaluating models. You may be involved in exploratory data analysis, writing scripts to automate repetitive tasks, and presenting your findings to team members. Collaboration with analysts, engineers, and business stakeholders is common, providing insight into how data-driven decisions are made. These projects will help you develop practical experience and prepare you for more advanced responsibilities as you progress in your data science career.

What is a data scientist apprentice?

A Data Scientist Apprentice is an entry-level role designed to provide hands-on experience in data analysis, machine learning, and statistical modeling under the guidance of experienced professionals. Apprentices typically assist with data cleaning, exploratory data analysis, and building predictive models while learning industry tools like Python, SQL, and data visualization libraries. This role helps develop practical skills in real-world projects, making it a great pathway into a full-time data science career.

What are the most commonly searched types of Data Scientist jobs in California? The most popular types of Data Scientist jobs in California are:
What are popular job titles related to Data Scientist Apprentice jobs in California? For Data Scientist Apprentice jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Scientist Apprentice jobs in California look for? The top searched job categories for Data Scientist Apprentice jobs in California are:
What cities in California are hiring for Data Scientist Apprentice jobs? Cities in California with the most Data Scientist Apprentice job openings:
Data Scientist Apprentice jobs near you
Infographic showing various Data Scientist Apprentice job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $162,857 per year, or $78.3 per hour.

Applied Data Science Intern

Evolver

Palo Alto, CA

Other

Re-posted 17 days ago

Job description

Applied Data Science Summer Internship 

About Us:

Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier startup environment.

Program Details:

Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.

  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:

Interns will contribute to real data innovation projects involving:

  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.

Mentorship & Learning

Interns will work closely with experienced staff and technical mentors with expertise in:

  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:

  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:

We welcome applications from:

  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.

Strong candidates typically demonstrate:

  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.

Apply