Data Science Engineer Visa Sponsorship Jobs in California
California is the top state for data science engineer visa sponsorship, driven by major tech employers across the San Francisco Bay Area, Los Angeles, and San Diego. Companies like Google, Meta, Apple, and Salesforce regularly sponsor H-1B visas for these roles, with particularly high concentration in Silicon Valley and the broader South Bay.
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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 Engineer Job Roles in California
See all 801+ Data Science Engineer Jobs in California
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Search Data Science Engineer Jobs in CaliforniaData Science Engineer Jobs in California: Frequently Asked Questions
Which companies in California sponsor visas for data science engineers?
Large tech companies including Google, Apple, Meta, Amazon, and Salesforce are among the most consistent H-1B sponsors for data science engineer roles in California. Beyond the household names, mid-size companies in fintech, healthtech, and enterprise SaaS, particularly those headquartered in the Bay Area or Los Angeles, also file substantial numbers of H-1B petitions for data engineering and machine learning positions each year.
What visa types are most common for data science engineer roles in California?
The H-1B is the most common visa for data science engineers in California, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation standard. OPT and STEM OPT are common entry points for recent graduates from California universities. Candidates with exceptional publication records or industry recognition may also qualify for the O-1A.
Which California cities have the most data science engineer sponsorship jobs?
The San Francisco Bay Area, including San Jose, Sunnyvale, Mountain View, and San Francisco itself, accounts for the largest share of data science engineer sponsorship roles in California. Los Angeles is a growing second hub, particularly in media technology and aerospace data roles. San Diego has a smaller but active cluster tied to biotech and defense contractors that also hire for these positions.
How to find data science engineer visa sponsorship jobs in California?
Migrate Mate is built specifically for international candidates seeking visa sponsorship and filters data science engineer roles by state, so you can browse California-specific openings from employers with active sponsorship histories. Rather than sorting through thousands of unfiltered postings, Migrate Mate surfaces roles where sponsorship is part of the hiring expectation, which is especially useful given the competitive volume of applications in California's tech market.
Are there any California-specific considerations for data science engineers pursuing visa sponsorship?
California's prevailing wage requirements under the H-1B program are among the highest in the country, reflecting the state's cost of living and competitive tech market. Employers filing Labor Condition Applications for Bay Area or Los Angeles positions must certify wages at or above the applicable prevailing wage level for that location. Many California universities, including UC Berkeley, UCLA, Stanford, and UCSD, also serve as active pipelines feeding sponsored data science engineering roles at nearby employers.
What is the prevailing wage for sponsored data science engineer 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.