E-3 Visa Data Scientist Jobs
Data Scientist roles qualify for E-3 visa sponsorship because they meet the specialty occupation standard, a bachelor's degree in statistics, computer science, or a related quantitative field is required, not just preferred. The E-3 has no lottery and no annual cap, so Australian professionals can apply year-round whenever an employer is ready to hire.
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Get Access To All JobsAt Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses.
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes, from small app developers to global brands. Because when advertising is done right, it benefits everyone.
The Data Insights organization helps Apple Ads understand, measure, forecast, optimize, and improve the advertising ecosystem across Apple Services. We partner closely with Product, Engineering, Finance, Sales, and Leadership teams to solve complex business and product challenges using data, experimentation, statistical modeling, and machine learning.
We are hiring Data Scientists across multiple teams and areas of focus within Apple Ads. Successful candidates may be considered for a variety of opportunities depending on their experience, interests, and technical strengths. Our hiring process is designed to match candidates to the teams and problem spaces where they can have the greatest impact.
Description
As a Data Scientist within Data Insights, you will work on high-impact problems that influence product strategy, business performance, advertiser outcomes, and marketplace health across Apple's advertising platforms. Depending on your area of focus, you may contribute to one or more of the following domains:
-
Product and Marketplace Insights: Define measurement frameworks, design experiments, evaluate product and advertiser outcomes, and identify marketplace opportunities that influence product strategy and decision-making.
-
Business Insights: Own key business metrics, identify drivers of business performance, and translate analytical findings into actionable recommendations for leadership. Build scalable analytical frameworks and automation solutions that improve decision-making across the advertising ecosystem.
-
Predictive Modeling, Forecasting & Optimization: Develop forecasting, machine learning, and optimization models that improve business performance and operational decision-making. Design robust evaluation frameworks and translate model outputs into scalable business impact.
-
Advertiser GTM Research - Quantitative Research & Econometrics: Apply statistical, econometric, optimization, and causal inference techniques to better understand marketplace behavior, advertising effectiveness, and incrementality in support of strategic decision-making.
We hire across multiple levels and specialties within the Data Insights organization. Candidates may be considered for different teams and opportunities based on experience, interests, and business needs. Our goal is to match exceptional talent to the problems where they can create the greatest impact.
Responsibilities
-
Analyze large-scale datasets to identify opportunities, explain business outcomes, and influence decisions
-
Design and evaluate experiments to understand the impact of products, features, and marketplace changes
-
Develop statistical, machine learning, forecasting, optimization, or econometric models to solve business problems
-
Define metrics and measurement frameworks that improve visibility into product and business performance
-
Partner closely with Product, Engineering, Sales, Finance, Marketplace, and Leadership teams
-
Communicate analytical findings and recommendations to both technical and non-technical audiences
-
Translate ambiguous business questions into structured analytical approaches
-
Influence product, business, and strategic decisions through data-driven insights and recommendations
-
Contribute to a culture of analytical rigor, experimentation, and continuous learning
Minimum Qualifications
Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline, or equivalent practical experience
Experience in Data Science, Analytics, Machine Learning, Quantitative Research, Business Analytics, or a related field
Strong SQL skills and experience working with large-scale, complex datasets
Strong Python programming skills and experience with common analytical libraries, including an understanding of code structure, testing, reproducibility, and scalable analytical workflows
Strong foundation in statistics, experimentation, causal inference, and analytical problem solving
Experience developing statistical, machine learning, econometric, forecasting, or optimization models to solve business problems
Experience translating analytical findings into business recommendations
Ability to communicate effectively with technical and non-technical stakeholders
Experience operating in ambiguous, fast-moving environments
Preferred Qualifications
Masters or PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas:
Deep familiarity with experiment design and quasi-experimental frameworks
Experience applying causal inference methodologies and deriving insights from observational data at scale
Experience working on real-time bidding systems, advertising technology platforms, or attribution methodologies
Exposure to digital advertising, marketplaces, e-commerce, media, or consumer technology business related analysis
Forecasting and time series analysis, including revenue, supply, or demand forecasting
Building data products, analytical frameworks, or decision-support systems
Experience partnering with Product, Engineering, Sales, Finance, or executive leadership teams to drive business outcomes
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 $150,400 and $277,600, 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.
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses.
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes, from small app developers to global brands. Because when advertising is done right, it benefits everyone.
The Data Insights organization helps Apple Ads understand, measure, forecast, optimize, and improve the advertising ecosystem across Apple Services. We partner closely with Product, Engineering, Finance, Sales, and Leadership teams to solve complex business and product challenges using data, experimentation, statistical modeling, and machine learning.
We are hiring Data Scientists across multiple teams and areas of focus within Apple Ads. Successful candidates may be considered for a variety of opportunities depending on their experience, interests, and technical strengths. Our hiring process is designed to match candidates to the teams and problem spaces where they can have the greatest impact.
Description
As a Data Scientist within Data Insights, you will work on high-impact problems that influence product strategy, business performance, advertiser outcomes, and marketplace health across Apple's advertising platforms. Depending on your area of focus, you may contribute to one or more of the following domains:
-
Product and Marketplace Insights: Define measurement frameworks, design experiments, evaluate product and advertiser outcomes, and identify marketplace opportunities that influence product strategy and decision-making.
-
Business Insights: Own key business metrics, identify drivers of business performance, and translate analytical findings into actionable recommendations for leadership. Build scalable analytical frameworks and automation solutions that improve decision-making across the advertising ecosystem.
-
Predictive Modeling, Forecasting & Optimization: Develop forecasting, machine learning, and optimization models that improve business performance and operational decision-making. Design robust evaluation frameworks and translate model outputs into scalable business impact.
-
Advertiser GTM Research - Quantitative Research & Econometrics: Apply statistical, econometric, optimization, and causal inference techniques to better understand marketplace behavior, advertising effectiveness, and incrementality in support of strategic decision-making.
We hire across multiple levels and specialties within the Data Insights organization. Candidates may be considered for different teams and opportunities based on experience, interests, and business needs. Our goal is to match exceptional talent to the problems where they can create the greatest impact.
Responsibilities
-
Analyze large-scale datasets to identify opportunities, explain business outcomes, and influence decisions
-
Design and evaluate experiments to understand the impact of products, features, and marketplace changes
-
Develop statistical, machine learning, forecasting, optimization, or econometric models to solve business problems
-
Define metrics and measurement frameworks that improve visibility into product and business performance
-
Partner closely with Product, Engineering, Sales, Finance, Marketplace, and Leadership teams
-
Communicate analytical findings and recommendations to both technical and non-technical audiences
-
Translate ambiguous business questions into structured analytical approaches
-
Influence product, business, and strategic decisions through data-driven insights and recommendations
-
Contribute to a culture of analytical rigor, experimentation, and continuous learning
Minimum Qualifications
Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline, or equivalent practical experience
Experience in Data Science, Analytics, Machine Learning, Quantitative Research, Business Analytics, or a related field
Strong SQL skills and experience working with large-scale, complex datasets
Strong Python programming skills and experience with common analytical libraries, including an understanding of code structure, testing, reproducibility, and scalable analytical workflows
Strong foundation in statistics, experimentation, causal inference, and analytical problem solving
Experience developing statistical, machine learning, econometric, forecasting, or optimization models to solve business problems
Experience translating analytical findings into business recommendations
Ability to communicate effectively with technical and non-technical stakeholders
Experience operating in ambiguous, fast-moving environments
Preferred Qualifications
Masters or PhD in Statistics, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline and experience in one or more of the following areas:
Deep familiarity with experiment design and quasi-experimental frameworks
Experience applying causal inference methodologies and deriving insights from observational data at scale
Experience working on real-time bidding systems, advertising technology platforms, or attribution methodologies
Exposure to digital advertising, marketplaces, e-commerce, media, or consumer technology business related analysis
Forecasting and time series analysis, including revenue, supply, or demand forecasting
Building data products, analytical frameworks, or decision-support systems
Experience partnering with Product, Engineering, Sales, Finance, or executive leadership teams to drive business outcomes
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 $150,400 and $277,600, 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.
See all 384+ E-3 Visa Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Data Scientist Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Data Scientist
Frame your degree field precisely
U.S. consular officers assess whether your specific degree directly supports the Data Scientist role. A statistics or mathematics degree maps cleanly; a general business degree needs supporting evidence. Prepare a one-page credential summary linking your field of study to your job duties.
Target employers with existing LCA history
Search the DOL's Foreign Labor Application Gateway disclosure data to identify employers who have filed Labor Condition Applications for Data Scientist or related titles. These employers already understand the E-3 visa process and are far less likely to withdraw an offer over sponsorship concerns.
Address the specialty occupation question early
Data Scientist roles at some companies blend analyst and engineering duties in ways that blur the specialty occupation line. Before accepting an offer, review the job description to confirm a bachelor's degree in a specific technical field is listed as required, not merely preferred, to avoid LCA complications.
Use Migrate Mate's E-3 filing service for LCA and paperwork
Once you have an offer, Migrate Mate's E-3 filing service manages the LCA submission with DOL, prepares your DS-160, and organises your consulate appointment package. This removes the back-and-forth between you and your employer on government filing requirements.
Clarify your employment model before the LCA is filed
Contract, third-party placement, and remote-first roles create prevailing wage complexities that affect the LCA. If your Data Scientist role involves a client worksite or hybrid arrangement across states, your employer must file the LCA against the correct wage level and location before your visa application can proceed.
Time your consulate appointment around your start date
The E-3 visa is issued for up to two years, but your admitted period is tied to the LCA validity. Book your consulate appointment in Sydney, Melbourne, or Perth at least four to six weeks before your target start date to allow for administrative processing, which occasionally adds two to four weeks.
E-3 Visa Data Scientist: Frequently Asked Questions
How do I find Data Scientist jobs with E-3 visa sponsorship?
Migrate Mate lists Data Scientist roles from U.S. employers who are open to E-3 sponsorship for Australian professionals. Standard job boards don't filter by visa type or E-3 history, so you end up cold-applying to roles where sponsorship isn't on the table. Searching through Migrate Mate puts you in front of employers who already understand the E-3 process.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Data Scientist role qualify as a specialty occupation for the E-3?
Yes, in most cases. USCIS and consular officers assess whether the role theoretically and practically requires at least a bachelor's degree in a specific field such as statistics, computer science, or applied mathematics. Roles where any degree is accepted, or where experience alone substitutes for a degree, can face scrutiny. The job description your employer provides with the LCA needs to reflect a genuine degree requirement.
How does the E-3 compare to the H-1B for Data Scientist roles?
The practical difference is timing and certainty. H-1B visa has an annual lottery with roughly a one-in-four selection rate, so you can clear every requirement and still not get a visa. The E-3 has a 10,500 annual allocation that has never been reached, meaning any qualified Australian with a valid offer can apply without waiting for a lottery result. For Data Scientists who have an offer, the E-3 path is direct and predictable.
Can I switch Data Scientist employers while on an E-3?
Yes, but each new employer must file a fresh LCA with DOL and you'll need to either apply for a new E-3 visa at an Australian consulate or, if you're already in the U.S., explore change of status options. Your current E-3 is tied to your sponsoring employer, so you cannot begin work for the new employer until the new LCA is certified and your visa documentation reflects the change.