Data Science Lead Visa Sponsorship Jobs in California
California is the top state for data science lead visa sponsorship, driven by Silicon Valley giants like Google, Meta, Apple, and Salesforce, plus fast-growing startups across San Francisco, Los Angeles, and San Diego. Tech, biotech, and fintech employers here regularly sponsor H-1B visa and other work visas for experienced data science leaders.
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Showing 5 of 802+ Data Science Lead Jobs in California with Visa Sponsorship
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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 Lead Job Roles in California
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Search Data Science Lead Jobs in CaliforniaData Science Lead Jobs in California: Frequently Asked Questions
Which companies sponsor visas for data science leads in California?
Large technology employers including Google, Meta, Apple, Adobe, and Salesforce are among the most active H-1B sponsors for data science lead roles in California. Major cloud and enterprise companies like Oracle and Intuit also sponsor regularly. Beyond big tech, biotech firms in the Bay Area and San Diego, along with fintech companies in San Francisco, have consistent track records of sponsoring senior data science hires.
Which visa types are most common for data science lead roles in California?
The H-1B is by far the most common visa for data science lead positions in California, as these roles typically require a bachelor's or advanced degree in computer science, statistics, or a related field, qualifying them as specialty occupations. Candidates with extraordinary ability may pursue the O-1A. Those already on F-1 OPT or STEM OPT extension can work while an employer files an H-1B petition on their behalf.
Which cities in California have the most data science lead sponsorship jobs?
The San Francisco Bay Area, including San Jose and Silicon Valley, concentrates the largest share of data science lead sponsorship opportunities in California, reflecting the density of major tech headquarters there. Los Angeles is a strong second market, particularly in entertainment technology, adtech, and e-commerce. San Diego has a notable cluster driven by biotech and defense technology employers that regularly sponsor data science leadership roles.
How to find data science lead visa sponsorship jobs in California?
Migrate Mate is built specifically for international job seekers and filters data science lead roles by visa sponsorship availability, so you can focus on California employers actively open to sponsoring. Rather than sorting through general job boards and guessing which employers sponsor, Migrate Mate surfaces verified sponsorship opportunities for data science leads across the Bay Area, Los Angeles, and San Diego in one place.
Are there state-specific considerations for data science leads seeking sponsorship in California?
California's prevailing wage requirements under H-1B rules apply at the county level, meaning employers in San Francisco or Santa Clara County must meet wage determinations specific to those high-cost labor markets. California also has strict employee classification laws, which generally means data science leads are hired as direct employees rather than contractors, a factor that affects how sponsorship is structured. The state's deep university pipeline from UC Berkeley, Stanford, and UCLA also creates strong employer familiarity with sponsoring international talent.
What is the prevailing wage for sponsored data science lead 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.