Data Science Manager Visa Sponsorship Jobs in California
California is the most active state for data science manager visa sponsorship, driven by Silicon Valley's concentration of tech employers including Google, Meta, Apple, and Salesforce, as well as life sciences firms in the Bay Area and San Diego. Most roles are based in San Francisco, San Jose, Los Angeles, and Seattle-adjacent hubs along the I-680 corridor.
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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 Manager Job Roles in California
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Search Data Science Manager Jobs in CaliforniaData Science Manager Jobs in California: Frequently Asked Questions
Which companies sponsor visas for data science managers in California?
Large tech companies are the most consistent sponsors for data science manager roles in California. Google, Meta, Apple, Amazon, Salesforce, Adobe, and Intuit regularly file H-1B visa petitions for these positions. Beyond pure tech, financial services firms like Wells Fargo and life sciences companies such as Genentech and Gilead also sponsor data science managers, particularly in the Bay Area and San Diego.
Which visa types are most common for data science manager roles in California?
The H-1B is the most common visa for data science managers in California, given the role typically requires a bachelor's or advanced degree in statistics, computer science, or a related field. Candidates with extraordinary recognition in their field may qualify for an O-1A. Australian citizens can pursue the E-3 visa, which has no lottery and is significantly easier to obtain for qualifying specialty occupation roles.
Which cities in California have the most data science manager sponsorship jobs?
San Francisco and San Jose account for the largest share of data science manager sponsorship roles in California, reflecting the concentration of major tech headquarters in Silicon Valley. Los Angeles is a growing second tier, with strong demand from entertainment tech, e-commerce, and aerospace companies. San Diego contributes a meaningful number of roles through its life sciences and biotech sector, particularly around Torrey Pines.
How to find data science manager visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to find data science manager roles in California without sorting through employers who don't sponsor. You can filter by state and role type to surface active openings from companies with documented sponsorship histories. Because data science manager positions in California are competitive, setting up alerts for new listings helps you respond quickly.
Are there state-specific considerations for data science manager sponsorship in California?
California employers filing H-1B Labor Condition Applications must meet Department of Labor prevailing wage requirements, which are among the highest in the country given the Bay Area and Los Angeles wage benchmarks. California's large university pipeline, including UC Berkeley, Stanford, and UCLA, means employers receive many qualified applicants, so international candidates benefit from targeting companies with established international hiring programs and dedicated immigration support.
What is the prevailing wage for sponsored data science manager 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.