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 JobsINTRODUCTION
Apple’s Intelligent System Experience (ISE) group builds intelligent software products and experiences on platforms that are used by millions of users around the world every single day. The ISE Data Science team works across products and platforms to translate vast amounts of metrics about software feature usage on iPhone, iPad, and Mac into actionable insights for our leadership in Engineering, Design, and Product Marketing teams. As Apple Intelligence features such as Writing Tools, Smart Reply, and Genmoji evolve, data has become increasingly central to how we understand the user experience, inform product strategy, and evaluate new machine-learning systems in a timely fashion.
DESCRIPTION
As the manager of the ISE Data Science team, you will lead and mentor a talented group of data scientists to understand customer engagement with Apple’s products and features. You will oversee the team’s efforts to collect, analyze, and interpret vast amounts of quantitative (telemetry) and qualitative (customer feedback) data to help improve Apple's products, inform strategic directions, and enhance the overall user experience. You will work closely with the Input Experience Analytics software engineering team to design and implement metrics for our software features, as well as the ISE User Studies team to establish a holistic picture of the user experience.
The ideal candidate for this role is an experienced manager with deep expertise in analytics and experimentation, excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at leading teams to surface and communicate key data insights that improve performance and customer experience at a global scale.
Responsibilities
As a member of our dynamic team, you will have the unique and rewarding opportunity to influence the direction of upcoming products and features that will delight millions of Apple customers around the world every single day! Some of the work you will do includes:
-
Synthesize quantitative and qualitative data from multiple sources across Apple and guide the data scientists to translate this data into actionable insights and business strategy, driving scalable, high-impact outcomes for iOS, iPadOS, and macOS features, including multi-platform Apple Intelligence features.
-
Deliver accurate and timely data and business analytics to stakeholders in order to meet mission- and business-critical requests.
-
Lead the development and implementation of robust monitoring, alerting, and health checking systems to ensure sustained data and machine learning model performance at scale.
-
Through continuous process improvement, proactively seek ways to improve existing data pipelines, reduce data storage loads, and identify opportunities for feature performance improvements.
-
Present and oversee communications of data analysis and insights to key stakeholders. Model and teach effective data storytelling, communicating compelling data-driven narratives without compromising analytical rigor.
-
Partner with cross-functional leaders to align data and analytics initiatives with strategic objectives.
-
Foster a data-informed culture by sharing data science best practices across Apple. Mentor and coach data scientists on technical best practices and professional development.
MINIMUM QUALIFICATIONS
-
2+ years of experience managing or leading diverse teams of data scientists and/or software engineers and researchers
-
Can lead teams in applying statistical analysis and inference, A/B experimentation and modeling (e.g. statistical, machine learning), to drive data-informed decisions, while maintaining hands-on proficiency in Python, SQL and Tableau
-
Able to translate complex data into clear, actionable insights and recommendations for executive leadership and cross-functional stakeholders, ensuring alignment between technical findings and business objectives
-
Organized, highly attentive to detail, and adaptable to rapidly changing requirements and environments
PREFERRED QUALIFICATIONS
-
5+ years of management experience
-
Experience working on consumer-facing products or shipping products
-
Experience using AI tools for text or image creation and editing (e.g. ChatGPT, Gemini, Apple Intelligence), and/or AI models for data analysis, synthesis, or evaluation workflows
-
Advanced degree in data science, engineering, or any related field of study
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Apple’s Intelligent System Experience (ISE) group builds intelligent software products and experiences on platforms that are used by millions of users around the world every single day. The ISE Data Science team works across products and platforms to translate vast amounts of metrics about software feature usage on iPhone, iPad, and Mac into actionable insights for our leadership in Engineering, Design, and Product Marketing teams. As Apple Intelligence features such as Writing Tools, Smart Reply, and Genmoji evolve, data has become increasingly central to how we understand the user experience, inform product strategy, and evaluate new machine-learning systems in a timely fashion.
DESCRIPTION
As the manager of the ISE Data Science team, you will lead and mentor a talented group of data scientists to understand customer engagement with Apple’s products and features. You will oversee the team’s efforts to collect, analyze, and interpret vast amounts of quantitative (telemetry) and qualitative (customer feedback) data to help improve Apple's products, inform strategic directions, and enhance the overall user experience. You will work closely with the Input Experience Analytics software engineering team to design and implement metrics for our software features, as well as the ISE User Studies team to establish a holistic picture of the user experience.
The ideal candidate for this role is an experienced manager with deep expertise in analytics and experimentation, excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at leading teams to surface and communicate key data insights that improve performance and customer experience at a global scale.
Responsibilities
As a member of our dynamic team, you will have the unique and rewarding opportunity to influence the direction of upcoming products and features that will delight millions of Apple customers around the world every single day! Some of the work you will do includes:
-
Synthesize quantitative and qualitative data from multiple sources across Apple and guide the data scientists to translate this data into actionable insights and business strategy, driving scalable, high-impact outcomes for iOS, iPadOS, and macOS features, including multi-platform Apple Intelligence features.
-
Deliver accurate and timely data and business analytics to stakeholders in order to meet mission- and business-critical requests.
-
Lead the development and implementation of robust monitoring, alerting, and health checking systems to ensure sustained data and machine learning model performance at scale.
-
Through continuous process improvement, proactively seek ways to improve existing data pipelines, reduce data storage loads, and identify opportunities for feature performance improvements.
-
Present and oversee communications of data analysis and insights to key stakeholders. Model and teach effective data storytelling, communicating compelling data-driven narratives without compromising analytical rigor.
-
Partner with cross-functional leaders to align data and analytics initiatives with strategic objectives.
-
Foster a data-informed culture by sharing data science best practices across Apple. Mentor and coach data scientists on technical best practices and professional development.
MINIMUM QUALIFICATIONS
-
2+ years of experience managing or leading diverse teams of data scientists and/or software engineers and researchers
-
Can lead teams in applying statistical analysis and inference, A/B experimentation and modeling (e.g. statistical, machine learning), to drive data-informed decisions, while maintaining hands-on proficiency in Python, SQL and Tableau
-
Able to translate complex data into clear, actionable insights and recommendations for executive leadership and cross-functional stakeholders, ensuring alignment between technical findings and business objectives
-
Organized, highly attentive to detail, and adaptable to rapidly changing requirements and environments
PREFERRED QUALIFICATIONS
-
5+ years of management experience
-
Experience working on consumer-facing products or shipping products
-
Experience using AI tools for text or image creation and editing (e.g. ChatGPT, Gemini, Apple Intelligence), and/or AI models for data analysis, synthesis, or evaluation workflows
-
Advanced degree in data science, engineering, or any related field of study
PAY & BENEFITS
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $198,300 and $342,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.