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Data Science Intern Jobs in Brea, CA (NOW HIRING)

VCA Animal Hospitals

Data Scientist

Los Angeles, CA · On-site

$107K - $161K/yr

Operating at the intersection of data science, pricing strategy, and business decision-making, the Data Scientist translates analytical questions into robust statistical and machine-learning models ...

Paramount

Data Scientist

Burbank, CA · On-site

Contribute to data science and product analytics best practices through documentation, code reviews, and knowledge sharing. Key Projects: Leverage 1st / 2nd / 3rd party data to build global models ...

Paramount

Data Scientist

Burbank, CA · On-site

You Have: • 0-2 years of experience in Data Science and ML Engineering. • MS in Statistics, Data Science, Computer Science, or related discipline preferred; or equivalent professional industry ...

Paramount Pictures

Data Scientist

Burbank, CA · On-site

$99 - $140/hr

Contribute to data science and product analytics best practices through documentation, code reviews, and knowledge sharing. Key Projects: * Leverage 1st / 2nd / 3rd party data to build global models ...

New

Oscar Health

Data Scientist II

Los Angeles, CA · On-site

$131K - $172K/yr

Collaborate closely with data science peers and cross-functional partners across business units * Help ensure data science processes and outputs align with broader team strategies and roadmaps

Oscar Health

Data Scientist II

Los Angeles, CA · Hybrid

$131K - $172K/yr

Collaborate closely with data science peers and cross-functional partners across business units * Help ensure data science processes and outputs align with broader team strategies and roadmaps

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... of data visualization tools and techniques • Excellent communication and presentation skills ...

Creative Artists Agency

Jr. Data Scientist

Los Angeles, CA · On-site

$86 - $94/hr

The position will report to the Head of Data Science. Responsibilities Data Wrangling: Identify data sources that can be useful to answer business questions; determine the optimal way to ingest this ...

New

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages ... of data visualization tools and techniques • Excellent communication and presentation skills ...

Panasonic

Data Scientist IV

Irvine, CA · On-site

Strong hands-on Python and SQL skills for data science (pandas, scikit-learn, and similar). * Should be strong in AWS suite, experience working with AWS Cloud or similar environments and tools for ...

Panasonic Avionics Corporation

Data Scientist IV

Irvine, CA · On-site

$142 - $238/hr

Strong hands-on Pythonand SQLskills for data science (pandas, scikit-learn, and similar). * Should be strong in AWS suite, experience working with AWS Cloud or similar environments and tools for Data ...

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All JobsData Science Intern JobsData Science Intern Jobs in Brea, CA

Data Science Intern information

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How much do data science intern jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data science intern in Brea, CA is $23.31, according to ZipRecruiter salary data. Most workers in this role earn between $17.93 and $25.38 per hour, depending on experience, location, and employer.

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 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 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.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

What are the most commonly searched types of Data Science jobs in Brea, CA?

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Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Brea, CA as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 11% Part Time, and 5% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $48,488 per year, or $23.3 per hour.

Data Scientist

VCA Animal Hospitals

Los Angeles, CA • On-site

$107K - $161K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago

VCA Animal Hospitals rating

6.2

Company rating: 6.2 out of 10

Based on 660 frontline employees who took The Breakroom Quiz

29th of 56 rated veterinary

Job description

The Data Scientist is a key member of the Pricing Strategy & Insights team, responsible for leveraging advanced analytics, predictive modeling, machine learning, and statistical methodologies to support pricing strategy, revenue optimization, and enterprise decision-making across VCA and Mars Veterinary Health. This role focuses on leveraging large, complex datasets to uncover patterns in pricing, utilization, and client behavior, and to design analytical models and optimization approaches that improve pricing decisions, revenue outcomes, and long-term strategic planning.
Operating at the intersection of data science, pricing strategy, and business decision-making, the Data Scientist translates analytical questions into robust statistical and machine-learning models (e.g., price elasticity, demand forecasting, and segmentation) and translates model outputs into clear, actionable insights for pricing leaders and cross-functional stakeholders. This role also supports a test-and-learn culture by applying experimental and measurement approaches (e.g., A/B testing) to quantify the impact of pricing actions and promotional strategies.
In addition to hands-on model development, the Data Scientist is responsible for validating analytical approaches, documenting assumptions and limitations, and partnering with analysts and technical teams (e.g., data engineering) to enable scalable data pipelines and production-ready model deployment into dashboards and decision tools. Reporting to the Director, Pricing Strategy & Insights, this role helps elevate the analytical maturity of the Pricing organization by introducing repeatable modeling techniques, best practices, and forward-looking insights that strengthen how pricing decisions are evaluated, governed, and executed.
This role requires associates to work a hybrid schedule out of one of the MVH North America Hub Locations - Los Angeles, CA.
Essential Responsibility/Tasks:
  • Advanced Analytics & Modeling: Design, build, and maintain statistical and machine-learning models to support pricing decisions, including price elasticity, demand forecasting, segmentation, and drivers of utilization and spend.
  • Pricing Optimization & Decision Support: Develop analytical approaches and (as appropriate) optimization methods that account for profitability and business constraints; translate model outputs into practical pricing recommendations and scenario implications for leaders.
  • Experimentation & Impact Measurement: Design and analyze statistical experiments (e.g., A/B tests) to evaluate pricing and promotional effectiveness; ensure results are clearly communicated and inform future pricing actions.
  • Data Engineering Partnership & Data Preparation: Prepare and transform large-scale datasets using SQL and Python/R; partner with data engineering and analytics teams to ensure data quality, consistent definitions, and scalable pipelines.
  • Model Validation, Documentation & Governance Enablement: Validate models for accuracy and stability; document methodologies, assumptions, and limitations; support responsible use of analytics in governance and decision forums.
  • Deployment & Enablement: Support operationalization of models into dashboards, tools, and recurring decision processes (including monitoring and refresh); train/enable analyst partners on model interpretation and usage.
  • Other Related Duties as Assigned: Support ad hoc analyses, leadership requests, and cross-functional initiatives related to pricing, promotions, or growth strategy.

EDUCATION/EXPERIENCE:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Operations Research, or related field. Master's degree or PhD in related field is preferred.
  • 5+ years of experience in data science, advanced analytics, or statistical modeling
  • Experience in pricing, revenue optimization, demand forecasting, or commercial analytics is preferred.

*All degrees will be deemed "or equivalent combination of education and experience" unless absolutely required to do the job (i.e., DVM degree for Veterinarian, Law degree for Attorney, etc.).
PREFERRED SKILLS AND QUALIFICATIONS:
  • Python (preferred libraries: scikit-learn, XGBoost, pandas, NumPy, matplotlib)
  • SQL (large-scale structured datasets)
  • Statistical modeling, machine learning, and optimization techniques
  • Data visualization tools (Power BI/Tableau or equivalent) and executive presentations
  • Advanced Microsoft Excel (modelling and communication)

Additional Information: Compensation is negotiable based on education, experience, and other relevant credentials. The US base salary range for this full-time position is $107,656 - $161,485. Our salary ranges are determined by role, level, and location. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only.
If you are a current associate, you need to apply through our internal career site. Please log into Workday and click on the Jobs Hub app or search for Browse Jobs.
Benefits: We offer competitive compensation along with a comprehensive benefits package, including medical, dental, vision and paid vacation/sick days, 401(k), generous employee pet discounts and more!
The information in this position description indicates the general nature and level of work to be performed. It is not designed to be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of associates assigned to this job. Management reserves the right to revise the job description or require that other tasks be performed when the circumstances of the job change (for example, emergencies, change in personnel, workload, or technical development).
We are proud to be an Equal Opportunity Employer - Veterans / Disabled. For a complete EEO statement please see our career page at vcacareers.com.

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