Data Science Director Visa Sponsorship Jobs in California
California is one of the top states for data science director roles, with major employers including Google, Meta, Apple, and Salesforce concentrated in the Bay Area, Los Angeles, and San Diego. These companies routinely sponsor work visas for senior data science leadership, making California a primary destination for international professionals pursuing this level of career.
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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 Director Job Roles in California
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Search Data Science Director Jobs in CaliforniaData Science Director Jobs in California: Frequently Asked Questions
Which companies sponsor visas for data science directors in California?
Large technology employers are the most consistent sponsors for data science director roles in California. Companies including Google, Meta, Apple, Amazon, Microsoft, Salesforce, and Adobe have established immigration programs and regularly file H-1B visa petitions for senior data science leadership. Healthcare technology firms like Kaiser Permanente and financial technology companies headquartered in San Francisco also appear frequently in Department of Labor disclosure data for this role level.
Which visa types are most common for data science director roles in California?
The H-1B visa is the most common pathway for data science directors in California, as the role typically requires advanced degrees in statistics, computer science, or a related field, satisfying the specialty occupation standard. Candidates with extraordinary recognition in the field may qualify for the O-1A visa. Directors already at a senior level internationally may explore the L-1A intracompany transferee category if their employer has a U.S. entity.
Which cities in California have the most data science director sponsorship jobs?
The San Francisco Bay Area, including San Jose, Mountain View, and Menlo Park, concentrates the highest volume of data science director sponsorship activity due to the density of major technology headquarters. Los Angeles has grown significantly, particularly in entertainment technology, e-commerce, and health tech. San Diego is an emerging hub driven by biotech and defense technology employers that sponsor at the director level.
How to find data science director visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it easier to identify data science director openings in California without sorting through roles that won't support international candidates. You can browse by location and seniority level to surface relevant opportunities at employers with active sponsorship programs. This is particularly useful for director-level searches where sponsorship willingness varies significantly by company size and hiring volume.
Are there any California-specific considerations for data science director visa sponsorship?
California's prevailing wage requirements under Department of Labor rules apply to H-1B petitions filed for positions in the state, and director-level roles in high-cost metro areas like San Francisco typically fall into the upper wage tiers. Many California employers, particularly in the Bay Area, have strong relationships with immigration counsel and manage high-volume sponsorship programs internally. University pipelines from UC Berkeley, Stanford, and UCLA also contribute a significant share of candidates who transition from student visas to employer-sponsored status at the director level over time.
What is the prevailing wage for sponsored data science director 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.