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Data Science Intern Jobs in California (NOW HIRING)

1 point system

Data Science Engineer

Century City, CA · On-site

Must have excellent communication Summary The Data Scientist is a member of a highly motivated Tech team responsible for accelerating the creation of opportunity through the strategic use of data.

Brigit

Director of Data Science

San Francisco, CA · On-site

$225K - $250K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

At Brigit, our Data Science team has been dramatically scaling its impact. We're aiming to integrate new models across several product domains over the next year and continue to iterate and optimize ...

Odesus

Manager of Data Science

Burbank, CA

$67.31/hr

Our Data Science team works very closely with Sales and Marketing, and in this position you will maintain and extend existing statistical and machine-learning work that informs how we window, price ...

Meta

Data Science Director (IC)

Menlo Park, CA

$253K/yr

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...

Meta

Data Science Director (IC)

Sunnyvale, CA

$253K/yr

We are seeking a Data Science Director IC who is passionate about developing, measuring, and strategizing investments in the Monetization Ranking AI space. Our Monetization AI system utilizes ...

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Data Science Intern information

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How much do data science intern jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for data science intern in California is $22.21, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $24.18 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

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 Intern jobs in California?

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

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

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

What cities in California are hiring for Data Science Intern jobs?

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

Data Science Intern jobs near you
Infographic showing various Data Science Intern 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 $46,196 per year, or $22.2 per hour.

Data Science Engineer

1 point system

Century City, CA • On-site

Contractor

Re-posted 11 days ago

Job description

Must take a coderbyte test.
Must have excellent communication
 
Job Description:
Summary
The Data Scientist is a member of a highly motivated Tech team responsible for accelerating the creation of opportunity through the strategic use of data. Incorporating the latest developments in Data Science (Generative, statistical modeling, machine learning, and advanced visualization) to solve complex business problems, they collaborate within a forward-thinking team to drive operational efficiency and shape innovative solutions for critical use cases.
 
The work they are doing is a data conversion project where one team is building a new financial application and needs to migrate financial data from multiple legacy source systems into the new platform. The work is developing Python scripts for data extraction, transformation, and validation, performing end-to-end testing, reconciling data accuracy, and managing the cutover process to ensure a smooth transition to the new system. The conversion is from Dynamics AX to SAP
 
Responsibilities
Development of Data Science Solutions:

  • Test and prototype innovative algorithms leveraging technologies such as Generative AI, NLP, and Machine Learning models
  • Partner with engineering teams to develop technology infrastructure
  • Build and refine models to maintain optimal performance and relevance

Collaboration and Communication

  • Work closely with cross-functional team to align data science initiatives with business priorities
  • Partner with leadership to identify and prioritize high-impact opportunities for data science applications
  • Present insights and recommendations through clear visualizations tailored for audiences across different roles and expertise levels

Data Wrangling:

  • Identify data sources that can be useful to answer business questions
  • Perform experiments on ingested data to evaluate quality and integrity
  • Build data pipelines for ongoing data extraction

Data Exploration and Visualization:

  • Use advanced visualization techniques to present data insights in a compelling way
  • Apply advanced analytics to create metrics and KPIs that summarize insights from data

Data Analysis:

  • Apply advanced statistical methods for classification and prediction, including machine learning methods
  • Document processes and analysis, using reproducible methods and scripts
  • Provide advice to the business on strengths and limitations of statistical results, to avoid misuse

 
Required Capabilities

  • Minimum 3 years working in a Data Science role
  • Bachelor’s degree in a relevant field such Mathematics, Science, Engineering, Computer Science, or Business
  • Master’s Degree in relevant discipline preferred
  • Hands-on experience with Generative AI models, including fine-tuning, deployment, and evaluation
  • Proficiency in using Python, R, or similar mathematical programming languages for advanced predictive modeling and visualization. Python expertise preferred
  • Proficiency in using SQL and modern Database management
  • Experience with Spark or similar distributed computing platforms
  • Experience with Deep Learning methods and applications (Keras, Torch, TensorFlow) preferred
  • Experience with Natural Language Processing methods and applications preferred
  • Experience successfully implementing analytical solutions with real-world business impact
  • Excellent analytical and problem-solving skills
  • Demonstrated initiative and ownership of tasks and projects
  • Ability to prioritize, coordinate, and complete tasks to meet deadlines
  • Ability to work effectively both independently and in team environments
  • Ability to present complex problems in simple terms