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Statistics Internship Jobs in California (NOW HIRING)

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research ...

Excellent mathematical skills in linear algebra and statistics * Ability to collaborate with others * Problem solving skills * Applied ML Engineering internships: Experience with integrating research ...

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Statistics Internship information

See California salary details

$9

$17

$23

How much do statistics internship jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for statistics internship in California is $17.08, according to ZipRecruiter salary data. Most workers in this role earn between $14.23 and $18.99 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a statistics intern, and why are they important?

To thrive as a Statistics Intern, you need a solid understanding of statistical methods, data analysis, and foundational coursework in mathematics or statistics. Familiarity with statistical software such as R, Python, SAS, or SPSS, along with proficiency in Excel, is typically expected. Attention to detail, problem-solving ability, and clear communication skills help interns interpret data accurately and share findings effectively. These competencies are essential for supporting data-driven decision-making and contributing valuable insights to projects.

What is the difference between Statistics Internship vs Data Analyst?

AspectStatistics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldBachelor's or master's in statistics, data science, or related field
Work EnvironmentInternship setting, often in research or academic environmentsFull-time role in corporate, tech, or finance industries
Employer & Industry UsageInternship programs in universities, research institutions, or companiesBusinesses, government agencies, and consulting firms
Common Search & ComparisonYesYes

The main difference between a Statistics Internship and a Data Analyst role lies in experience level and employment status. Internships are typically temporary positions for students or recent graduates gaining practical experience, while Data Analysts are full-time professionals responsible for analyzing data to inform business decisions. Both roles require strong statistical skills, but internships focus on learning and development, whereas Data Analysts perform ongoing data analysis tasks.

What are some typical projects or tasks that a statistics intern works on during their internship?

Statistics Interns often assist with data collection, cleaning, and analysis for ongoing research or business projects. They may use statistical software to run analyses, create visualizations, and interpret results under the guidance of senior analysts or statisticians. Interns frequently collaborate with cross-functional teams, such as data science, engineering, or marketing, to provide insights that inform decision-making. This hands-on experience helps interns develop practical skills and gain exposure to real-world applications of statistical methodologies.

What is a statistics internship?

A statistics internship is a temporary position that allows students or recent graduates to gain practical experience by applying statistical methods and data analysis techniques in a real-world setting. Interns typically work under the supervision of experienced statisticians or data analysts, assisting with data collection, cleaning, analysis, and interpretation. The internship helps individuals develop technical and professional skills relevant to fields such as data science, research, business analytics, healthcare, and more. It also offers valuable opportunities for networking and can often lead to full-time employment in the field.
What are the most commonly searched types of Statistics jobs in California? The most popular types of Statistics jobs in California are:
What cities in California are hiring for Statistics Internship jobs? Cities in California with the most Statistics Internship job openings:
Infographic showing various Statistics Internship job openings in California as of August 2026, with employment types broken down into 10% Internship, 65% Full Time, 21% Part Time, 2% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,523 per year, or $17.1 per hour.

Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Eluvio

Berkeley, CA โ€ข On-site

Temporary, Internship

Re-posted 4 days ago


Job description

If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and we have a new internship position available in our Berkeley HQ!

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA.

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions.

Responsibilities

  • Work with the Eluvio AI Machine Learning and Data Science Team
  • Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content
  • Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location
  • Develop multi-functional learning pipelines
  • Collaborate with product and engineering teams to implement models at scale
  • Help train and develop multimodal learning models using advanced learning techniques including RAG, self-supervised learning, semi-supervised, and transductive learning.

Requirements

Desired Qualifications

  • MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
  • Deep classroom experience in data science or machine learning or prior internship
  • Comfortable with Python or R
  • Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn)
  • Knowledge of computer vision and natural language processing
  • Strong working experience with large multi-modal and language models preferred
  • Great communication skills, organized, able to multitask and be a team player
  • Ability to balance attention to detail with agile execution

Benefits

Paid summer internship with one of the top Video AI tech companies in the world!

Catered Lunches (really good food)

Great atmosphere, nice colleagues

Summer Party!