Data Science Intern Visa Sponsorship Jobs in California
Data science intern roles in California attract some of the highest concentrations of visa sponsorship in the country, driven by major tech employers across the San Francisco Bay Area, Los Angeles, and San Diego. Companies like Google, Meta, Apple, and numerous AI startups regularly hire international interns, making California a leading destination for sponsored data science internship opportunities.
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Get Access To All JobsINTRODUCTION
Sikka.ai is The Optimizer and Insights Company™, transforming healthcare through AI-powered insights and intelligent automation. Our cloud-based integration platform (Sikka Platform Utility™) connects with thousands of healthcare practices, enabling applications that improve operational efficiency, increase profitability, and enhance patient care.
As a Data Science Intern, you will work alongside AI engineers and data scientists on real-world healthcare AI applications. You'll gain hands-on experience with machine learning, Large Language Models (LLMs), AI agents, and emerging Reinforcement Learning techniques while helping build next-generation intelligent healthcare products.
Responsibilities
- Analyze large-scale healthcare datasets to uncover trends, anomalies, and actionable business insights.
- Build predictive models and data-driven solutions that improve healthcare operations and business performance.
- Perform exploratory data analysis (EDA), statistical analysis, and model evaluation.
- Develop SQL queries and Python pipelines for data extraction, transformation, and analytics.
- Design dashboards and visualizations to communicate insights to technical and business stakeholders.
- Collaborate with engineers and product managers to develop AI-powered healthcare applications.
- Evaluate and improve machine learning and LLM-based systems using quantitative and qualitative metrics.
- Assist in researching and prototyping AI agents, intelligent workflows, and Reinforcement Learning applications for healthcare automation.
- Document experiments, model performance, and technical findings.
REQUIRED QUALIFICATIONS
- Currently pursuing a Master's or Ph.D. in Data Science, Computer Science, Artificial Intelligence, Statistics, Machine Learning, or a related field.
- Strong programming skills in Python and SQL.
- Solid understanding of machine learning fundamentals, including:
- Regression
- Classification
- Clustering
- Feature Engineering
- Model Evaluation Metrics
- Familiarity with statistics and data analysis techniques.
- Basic understanding of Large Language Models (LLMs) and Generative AI.
- Strong analytical thinking, curiosity, and problem-solving skills.
- Excellent written and verbal communication skills.
PREFERRED QUALIFICATIONS
- Experience with Reinforcement Learning concepts such as Markov Decision Processes (MDPs), Q-Learning, Policy Gradient methods, PPO, or Deep Reinforcement Learning.
- Familiarity with Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), reward modeling, or preference learning.
- Experience building AI agents using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar.
- Experience with Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and LLM evaluation.
- Familiarity with PyTorch, TensorFlow, Hugging Face, or other deep learning frameworks.
- Experience using cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Personal AI projects, research publications, Kaggle competitions, or open-source contributions are highly desirable.
WHAT YOU'LL GAIN
- Work on production AI systems serving real healthcare customers.
- Gain hands-on experience with LLMs, AI Agents, and Reinforcement Learning technologies.
- Collaborate with experienced AI engineers and data scientists in a fast-paced startup environment.
- Build solutions that directly improve healthcare operations and patient experiences.
- Opportunity to contribute to cutting-edge AI products from research through production deployment.
PAY
Up to $25.00 per hour
LOCATION
- San Jose, CA 95134 (Preferred)
ABILITY TO COMMUTE
- San Jose, CA 95134 (Required)
ABILITY TO RELOCATE
- San Jose, CA 95134: Relocate before starting work (Required)
WORK LOCATION
In person
INTRODUCTION
Sikka.ai is The Optimizer and Insights Company™, transforming healthcare through AI-powered insights and intelligent automation. Our cloud-based integration platform (Sikka Platform Utility™) connects with thousands of healthcare practices, enabling applications that improve operational efficiency, increase profitability, and enhance patient care.
As a Data Science Intern, you will work alongside AI engineers and data scientists on real-world healthcare AI applications. You'll gain hands-on experience with machine learning, Large Language Models (LLMs), AI agents, and emerging Reinforcement Learning techniques while helping build next-generation intelligent healthcare products.
Responsibilities
- Analyze large-scale healthcare datasets to uncover trends, anomalies, and actionable business insights.
- Build predictive models and data-driven solutions that improve healthcare operations and business performance.
- Perform exploratory data analysis (EDA), statistical analysis, and model evaluation.
- Develop SQL queries and Python pipelines for data extraction, transformation, and analytics.
- Design dashboards and visualizations to communicate insights to technical and business stakeholders.
- Collaborate with engineers and product managers to develop AI-powered healthcare applications.
- Evaluate and improve machine learning and LLM-based systems using quantitative and qualitative metrics.
- Assist in researching and prototyping AI agents, intelligent workflows, and Reinforcement Learning applications for healthcare automation.
- Document experiments, model performance, and technical findings.
REQUIRED QUALIFICATIONS
- Currently pursuing a Master's or Ph.D. in Data Science, Computer Science, Artificial Intelligence, Statistics, Machine Learning, or a related field.
- Strong programming skills in Python and SQL.
- Solid understanding of machine learning fundamentals, including:
- Regression
- Classification
- Clustering
- Feature Engineering
- Model Evaluation Metrics
- Familiarity with statistics and data analysis techniques.
- Basic understanding of Large Language Models (LLMs) and Generative AI.
- Strong analytical thinking, curiosity, and problem-solving skills.
- Excellent written and verbal communication skills.
PREFERRED QUALIFICATIONS
- Experience with Reinforcement Learning concepts such as Markov Decision Processes (MDPs), Q-Learning, Policy Gradient methods, PPO, or Deep Reinforcement Learning.
- Familiarity with Reinforcement Learning from Human Feedback (RLHF), Direct Preference Optimization (DPO), reward modeling, or preference learning.
- Experience building AI agents using frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar.
- Experience with Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, and LLM evaluation.
- Familiarity with PyTorch, TensorFlow, Hugging Face, or other deep learning frameworks.
- Experience using cloud platforms such as AWS, Azure, or Google Cloud Platform.
- Personal AI projects, research publications, Kaggle competitions, or open-source contributions are highly desirable.
WHAT YOU'LL GAIN
- Work on production AI systems serving real healthcare customers.
- Gain hands-on experience with LLMs, AI Agents, and Reinforcement Learning technologies.
- Collaborate with experienced AI engineers and data scientists in a fast-paced startup environment.
- Build solutions that directly improve healthcare operations and patient experiences.
- Opportunity to contribute to cutting-edge AI products from research through production deployment.
PAY
Up to $25.00 per hour
LOCATION
- San Jose, CA 95134 (Preferred)
ABILITY TO COMMUTE
- San Jose, CA 95134 (Required)
ABILITY TO RELOCATE
- San Jose, CA 95134: Relocate before starting work (Required)
WORK LOCATION
In person
Data Science Intern Job Roles in California
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Search Data Science Intern Jobs in CaliforniaData Science Intern Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for data science interns?
Large tech employers with established international intern programs, including Google, Meta, Apple, Amazon, and Microsoft, have California offices that sponsor data science interns. Beyond major tech companies, AI-focused startups in the Bay Area and enterprise software firms throughout Silicon Valley also sponsor international interns, though sponsorship availability varies by company size, intern headcount, and the specific visa category involved.
Which visa types are most common for data science intern roles in California?
Most international data science interns in California work under F-1 OPT or CPT authorization rather than employer-sponsored visas, since internships are typically short-term. Students on F-1 visas can use Curricular Practical Training during their degree or Optional Practical Training after graduation. Some companies sponsor J-1 visa intern or trainee visas. H-1B visa sponsorship is rare for internships given the temporary nature of the role and the petition timeline involved.
Which cities in California have the most data science intern sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Menlo Park, and San Francisco itself, concentrates the majority of sponsored data science internships in California. Los Angeles has a growing presence through entertainment tech, health tech, and aerospace data roles. San Diego hosts data science internships tied to biotech and defense contractors. Most international intern sponsorship activity is centered in the Bay Area given the density of major tech employers there.
How to find data science intern visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data science intern roles in California without sorting through positions that do not support international candidates. Because data science internships in California span tech, biotech, and fintech industries, using Migrate Mate to filter by role type and state helps narrow results to employers actively hiring sponsored interns rather than sorting through listings where sponsorship status is unclear.
Are there state-specific or role-specific considerations for data science interns seeking sponsorship in California?
California's concentration of university programs at UC Berkeley, Stanford, UCLA, and UC San Diego creates a strong pipeline of international students entering data science internships locally. California employers are generally familiar with F-1 OPT and CPT processes given the volume of international students in the state. For roles at larger companies, internships often serve as a pathway to full-time positions where H-1B sponsorship may become relevant after graduation.
What is the prevailing wage for sponsored data science intern jobs in California?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.