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Internship Python Data Science Jobs in Santa Barbara, CA

Shp

MLOps Engineer

Goleta, CA · On-site

$140K - $175K/yr

Role Overview We're hiring a strong Python engineer to build and operate our production ML platform end-to-end. You'll productionalize data science work by building robust on-premises infrastructure ...

GRVTY

Junior Electrical Engineer

Ventura, CA

You will join a team of dedicated engineers and scientists who are pushing the boundaries of ... Experience with MATLAB, Python, or LabView for data analysis or test automation * Prior internship ...

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How much do internship python data science jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for internship python data science in Santa Barbara, CA is $25.04, according to ZipRecruiter salary data. Most workers in this role earn between $19.28 and $27.26 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Internship Python Data Science, and why are they important?

To thrive as an Internship Python Data Science, you need a solid understanding of statistics, data analysis, and programming in Python, often supported by coursework or academic projects in data science or related fields. Familiarity with tools and libraries such as Pandas, NumPy, Scikit-learn, and Jupyter Notebooks is typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication are valuable soft skills for standing out in this role. These skills ensure interns can analyze data, contribute to team projects, and grow quickly in a fast-evolving technical environment.

What is the difference between Internship Python Data Science vs Data Analyst Intern?

AspectInternship Python Data ScienceData Analyst Intern
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization tools
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical TasksData cleaning, modeling, predictive analysisData reporting, dashboard creation, trend analysis

Internship Python Data Science and Data Analyst Intern roles share common skills like SQL and data handling but differ mainly in focus. Data Science internships emphasize programming, modeling, and machine learning, while Data Analyst internships focus on data visualization and reporting. Both are valuable entry points in data careers, often found in similar industries and work environments.

What types of projects can I expect to work on during a Python Data Science internship?

As a Python Data Science intern, you will often work on projects involving data cleaning, exploratory data analysis, model building, and visualization using Python libraries like pandas, NumPy, and scikit-learn. You may assist in preparing datasets, automating data pipelines, or supporting senior data scientists with real-world business problems such as customer analytics or predictive modeling. Collaboration with both technical and non-technical teams is common, providing valuable exposure to the end-to-end data science workflow and opportunities to present your findings.

What is an Internship Python Data Science position?

An Internship Python Data Science position is an entry-level role designed for students or recent graduates to gain practical experience in data science using Python. Interns typically work under the supervision of experienced data scientists, assisting with data analysis, cleaning, visualization, and sometimes building machine learning models. They may also collaborate on real-world projects, learning to use tools and libraries like pandas, NumPy, scikit-learn, and Jupyter Notebook. This internship helps individuals develop technical and analytical skills while building a foundation for a career in data science.
What are the most commonly searched types of Python Data Science jobs in Santa Barbara, CA? The most popular types of Python Data Science jobs in Santa Barbara, CA are:
What are popular job titles related to Internship Python Data Science jobs in Santa Barbara, CA? For Internship Python Data Science jobs in Santa Barbara, CA, the most frequently searched job titles are:
What job categories do people searching Internship Python Data Science jobs in Santa Barbara, CA look for? The top searched job categories for Internship Python Data Science jobs in Santa Barbara, CA are:
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Internship Python Data Science jobs near you
Infographic showing various Internship Python Data Science job openings in Santa Barbara, CA as of June 2026, with employment types broken down into 6% Internship, 69% Full Time, 13% Part Time, 6% Temporary, and 6% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $52,084 per year, or $25 per hour.
Senior Data Scientist

Senior Data Scientist

Nevada National Security Sites

Santa Barbara, CA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Mission Support and Test Services, LLC (MSTS) manages and operates the Nevada National Security Site (NNSS) for the U.S. National Nuclear Security Administration (NNSA). They are seeking a Senior Data Scientist to apply advanced data science techniques to support engineering and scientific efforts, focusing on developing and deploying models for analysis, prediction, and optimization.
Responsibilities:
• Develop new and unique data-driven solutions to highly complex technical problems of broad scope. Solutions may require resolving conflicting customer expectations and design requirements, utilizing unconventional data sources, and cross-portfolio integration.
• Develop and implement reinforcement learning models for various applications.
• Conduct data analysis, develop statistical models, and build machine learning algorithms.
• Design and evaluate experiments to validate model performance and impact.
• Provide data-driven insights and recommendations to support strategic initiatives.
Qualifications:
Required:
• Bachelor’s in calculus-based technical (STEM) field plus at least 5 years relevant experience. Skill building experience must demonstrate either deeper technical specialization or additional cross-disciplinary knowledge. Graduate research experience may be recognized.
• Demonstrated experience in developing and implementing reinforcement learning models.
• Proficiency in programming languages commonly used in data science (e.g., Python, R).
• Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Strong interest in chemical process optimization.
• Should be self-motivated and able to complete assigned tasks with minimal supervision.
• Excellent oral and written communication skills, including the ability to write reports and technical documents.
• The primary work location will be at the Special Technologies Laboratory (STL) located in Santa Barbara, CA.
• Pre-placement physical examination, which includes a drug screen, is required. MSTS maintains a substance abuse policy that includes random drug testing.
• Must possess a valid driver’s license.
• MSTS is required by DOE directive to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications.
• Applicants offered employment with MSTS are also subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance.
• Applicants for employment must be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship, at least 18 years of age.
Preferred:
• Bachelor's degree in a quantitative field preferred, such as Computer Science, Statistics, Mathematics, Computer Engineering.
Company:
The Nevada National Security Sites help ensure the security of the United States and its allies by: supporting the stewardship of the nation’s nuclear deterrent; providing nuclear and radiological emergency response capabilities and training; contributing to key nonproliferation and arms control initiatives; executing national-level experiments in support of the National Laboratories; working with national security customers and other federal agencies on important national security activities; and providing long-term environmental stewardship of the NNSS’s Cold War legacy. Founded in , the company is headquartered in North Las Vegas, Nevada, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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