Data Science Analyst Visa Sponsorship Jobs in California
Data science analyst roles in California attract some of the highest concentrations of visa sponsorship activity in the country, driven by major employers like Google, Meta, Apple, and Salesforce across the Bay Area, as well as biotech firms in San Diego and streaming companies in Los Angeles. Competition is intense, but so is employer familiarity with the sponsorship process.
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Get Access To All JobsPRIMARY DUTIES & RESPONSIBILITIES
- Analyze the business requirements and converting the requirement into Machine learning/Generative AI problem
- Assess and evaluate the Business Process Flow and Data Flow
- Identify the needed data features and labels
- Extract, Transform, Integrate data from multiple data sources into a Data Model
- Transforming large amount of data into compelling visual stories to facilitate analysis and decision making
- Using large proprietary datasets to conduct training sets and correlation
- Develops dashboards with rich interactive data visualizations to illustrate the value of bringing the data
- Predict outcomes based on rigorous experimental design and statistical methods
- Building related models by using Machine learning and Generative AI techniques
- Assist in benchmarking and quantifying improvements in Generative AI models
EDUCATION & EXPERIENCE
- Bachelor’s degree in computer science or related field
- Knowledge of Advanced Predictive Analytics including an exposure to areas such as AI, Deep Learning, Intelligent Bots, Reinforcement Learning, Neural Networks
- Experience in Data Acquisition/Integration
SKILLS
- Knowledge of data science technologies such as R, Octave, Python, pandas, scipy, numpy, matplotlib, etc.
- Data Science visualization tools (Tableau, Superset, PowerBI, etc.) as well as traditional Reporting/BI tools
- Knowledge of Advanced Predictive Analytics including an exposure to areas such as AI, Deep Learning, Intelligent Bots, Reinforcement Learning, Neural Networks
- Knowledge Exploratory data analysis, statistical analysis like sampling, hypothesis testing, central limit theorem, Machine Learning, Deep learning regression and classification models
- Working knowledge in Generative AI tech stack (Prompt engineering, ChatGPT, Llama, Gemini, RAG etc.)
- Expertise in Python programming language
- Experience with Relational and non-relational databases
WORKING CONDITIONS
- Regular use of a computer and other office equipment is necessary
- Interaction with team members and external contacts is a regular part of the job
Physical Requirements
- The employee will be expected to work hybrid / onsite
- Willingness to work off-core hours for global team collaboration and support as needed
SAFETY REQUIREMENTS
All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.
QUALITY AND ENVIRONMENTAL RESPONSIBILITIES
Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.
CULTURE COMMITMENT
Ensure adherence to company’s values (ICARE) in all aspects of your position at Coherent Corp.:
I ntegrity – Create an Environment of Trust
C ollaboration – Innovate Through the Sharing of Ideas
A ccountability – Own the Process and the Outcome
R espect – Recognize the Value in Everyone
E nthusiasm – Find a Sense of Purpose in Work
Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
If you need assistance or an accommodation due to a disability, you may contact us at talentacquisition@coherent.com.
PRIMARY DUTIES & RESPONSIBILITIES
- Analyze the business requirements and converting the requirement into Machine learning/Generative AI problem
- Assess and evaluate the Business Process Flow and Data Flow
- Identify the needed data features and labels
- Extract, Transform, Integrate data from multiple data sources into a Data Model
- Transforming large amount of data into compelling visual stories to facilitate analysis and decision making
- Using large proprietary datasets to conduct training sets and correlation
- Develops dashboards with rich interactive data visualizations to illustrate the value of bringing the data
- Predict outcomes based on rigorous experimental design and statistical methods
- Building related models by using Machine learning and Generative AI techniques
- Assist in benchmarking and quantifying improvements in Generative AI models
EDUCATION & EXPERIENCE
- Bachelor’s degree in computer science or related field
- Knowledge of Advanced Predictive Analytics including an exposure to areas such as AI, Deep Learning, Intelligent Bots, Reinforcement Learning, Neural Networks
- Experience in Data Acquisition/Integration
SKILLS
- Knowledge of data science technologies such as R, Octave, Python, pandas, scipy, numpy, matplotlib, etc.
- Data Science visualization tools (Tableau, Superset, PowerBI, etc.) as well as traditional Reporting/BI tools
- Knowledge of Advanced Predictive Analytics including an exposure to areas such as AI, Deep Learning, Intelligent Bots, Reinforcement Learning, Neural Networks
- Knowledge Exploratory data analysis, statistical analysis like sampling, hypothesis testing, central limit theorem, Machine Learning, Deep learning regression and classification models
- Working knowledge in Generative AI tech stack (Prompt engineering, ChatGPT, Llama, Gemini, RAG etc.)
- Expertise in Python programming language
- Experience with Relational and non-relational databases
WORKING CONDITIONS
- Regular use of a computer and other office equipment is necessary
- Interaction with team members and external contacts is a regular part of the job
Physical Requirements
- The employee will be expected to work hybrid / onsite
- Willingness to work off-core hours for global team collaboration and support as needed
SAFETY REQUIREMENTS
All employees are required to follow the site EHS procedures and Coherent Corp. Corporate EHS standards.
QUALITY AND ENVIRONMENTAL RESPONSIBILITIES
Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.
CULTURE COMMITMENT
Ensure adherence to company’s values (ICARE) in all aspects of your position at Coherent Corp.:
I ntegrity – Create an Environment of Trust
C ollaboration – Innovate Through the Sharing of Ideas
A ccountability – Own the Process and the Outcome
R espect – Recognize the Value in Everyone
E nthusiasm – Find a Sense of Purpose in Work
Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
If you need assistance or an accommodation due to a disability, you may contact us at talentacquisition@coherent.com.
Data Science Analyst Job Roles in California
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Search Data Science Analyst Jobs in CaliforniaData Science Analyst Jobs in California: Frequently Asked Questions
Which companies sponsor visas for data science analysts in California?
Large technology employers including Google, Apple, Meta, Amazon, and Salesforce have consistent track records of sponsoring work visas for data science analysts in California. Biotech and life sciences companies concentrated in the San Diego and South San Francisco corridors also sponsor regularly. Employer sponsorship history is publicly documented through Department of Labor LCA disclosure data, which shows approved job titles and filing volumes by company.
Which visa types are most common for data science analyst roles in California?
The H-1B visa is the most common visa for data science analyst roles in California, as the position typically requires at least a bachelor's degree in a quantitative field such as statistics, computer science, or mathematics, qualifying it as a specialty occupation. Candidates already holding an F-1 with OPT or STEM OPT may work while an H-1B petition is pending. The O-1A is an option for analysts with exceptional credentials, though it requires substantial documented achievement.
Which cities in California have the most data science analyst sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, Menlo Park, and San Francisco itself, accounts for the largest share of data science analyst sponsorship activity in California, reflecting the density of major tech employers. Los Angeles has a growing cluster driven by media, entertainment, and e-commerce companies. San Diego contributes through its biotech and life sciences sector, and Sacramento shows activity from state government and health services employers.
How to find data science analyst visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for data science analyst roles in California without sorting through positions that do not offer sponsorship. You can narrow results by location within the state, which is useful given how differently the Bay Area, Los Angeles, and San Diego markets behave. Focusing on employers with a documented history of H-1B filings in data science roles improves your chances of a productive application.
Are there state-specific considerations for data science analysts pursuing sponsorship in California?
California's prevailing wage requirements under state law can exceed federal Department of Labor wage levels, which affects how employers structure compensation in H-1B petitions filed for California worksites. The state's concentration of university research programs at UC Berkeley, UCLA, Stanford, and UCSD creates a strong talent pipeline, meaning sponsoring employers here are experienced with the process but also selective. Analysts with advanced degrees from U.S. institutions may benefit from the H-1B master's cap exemption during the lottery.
What is the prevailing wage for sponsored data science analyst 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.