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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Get Access To All JobsINTRODUCTION
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple’s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and groundbreaking AI technology.
We are currently seeking an experienced and influential Data Science Leader to grow the AIML Data Operations Annotations Analytics team and function. This position will lead a team of data engineers and scientists to establish top-line health metrics, identify key growth drivers, and recommend operational and business optimizations through scalable, responsive, and interpretable research and analyses.
DESCRIPTION
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
-
Establish a center of excellence for Data Operations Data Science team by uncovering business-actionable insights in collaboration across our customer groups as well as the Operations team.
-
Oversee large complex projects from conception to completion, develop roadmaps and requirements, identify risks and develop contingency plans, evaluate impact, and regularly communicate status to executives.
-
Establish, enhance, and socialize key operational metrics that accurately represent the business state of health.
-
Lead proactive analyses identifying key drivers of metrics, and make recommendations that optimize performance.
-
Develop reporting measures to expand the portfolio of self-service dashboards and reports to inform, enable, and empower relevant stakeholders.
-
Draft schema and instrumentation requirements to enrich operational datasets for new projects, etc.
-
Identify key factors that lead to improving productivity and quality.
-
Build a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and engagement.
-
Develop, recruit, and train a diverse team of high-performing data engineers and scientists focused on uncovering insights from large-scale data across all aspects of the operation.
MINIMUM QUALIFICATIONS
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
4+ years of experience in managing data science, analytics, or data operations teams.
4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals.
Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization.
Mastery in SQL-based languages, and proficiency in at least one large-scale data language.
Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R.
PREFERRED QUALIFICATIONS
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations.
Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization.
Experience in managing data science or analytics teams in AI & ML annotations and collections areas.
Passion for AIML and Operations, with a consistent track record of operational results.
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 $176,600 and $313,500, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
INTRODUCTION
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple’s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and groundbreaking AI technology.
We are currently seeking an experienced and influential Data Science Leader to grow the AIML Data Operations Annotations Analytics team and function. This position will lead a team of data engineers and scientists to establish top-line health metrics, identify key growth drivers, and recommend operational and business optimizations through scalable, responsive, and interpretable research and analyses.
DESCRIPTION
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
-
Establish a center of excellence for Data Operations Data Science team by uncovering business-actionable insights in collaboration across our customer groups as well as the Operations team.
-
Oversee large complex projects from conception to completion, develop roadmaps and requirements, identify risks and develop contingency plans, evaluate impact, and regularly communicate status to executives.
-
Establish, enhance, and socialize key operational metrics that accurately represent the business state of health.
-
Lead proactive analyses identifying key drivers of metrics, and make recommendations that optimize performance.
-
Develop reporting measures to expand the portfolio of self-service dashboards and reports to inform, enable, and empower relevant stakeholders.
-
Draft schema and instrumentation requirements to enrich operational datasets for new projects, etc.
-
Identify key factors that lead to improving productivity and quality.
-
Build a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and engagement.
-
Develop, recruit, and train a diverse team of high-performing data engineers and scientists focused on uncovering insights from large-scale data across all aspects of the operation.
MINIMUM QUALIFICATIONS
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
4+ years of experience in managing data science, analytics, or data operations teams.
4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals.
Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization.
Mastery in SQL-based languages, and proficiency in at least one large-scale data language.
Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R.
PREFERRED QUALIFICATIONS
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field.
Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations.
Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization.
Experience in managing data science or analytics teams in AI & ML annotations and collections areas.
Passion for AIML and Operations, with a consistent track record of operational results.
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 $176,600 and $313,500, 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.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.