H-1B1 Chile Visa Research Data Scientist Jobs
Research Data Scientist jobs with H-1B1 Chile visa sponsorship are accessible to Chilean nationals without a lottery or USCIS petition filing. The 1,400-visa annual cap rarely fills, and your application goes directly to the U.S. consulate, making this one of the most direct paths to U.S. research roles for data scientists with a qualifying degree.
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Get Access To All JobsABOUT THE JOB
Google Cloud Platform (GCP) offers a suite of products ranging from Compute to Storage and ML. Operating at the forefront of AI using next-generation technology, our Cloud Analytics team focuses on understanding platform resources to provide analytical insights, improve product excellence, and support scalable growth. In this role, a primary focus of your work will involve product analytics for GCP's consumption products, such as Spot and Dynamic Workload Scheduler (DWS), analyzing and improving VM reliability to optimize overall resource usage and efficiency. Additionally, you will contribute to high-visibility projects, working cross-functionally with the Google Maps Platform (GMP) team on agent analytics while partnering with core engineering and product groups. To achieve this, you will analyze complex system logs, define key performance and reliability metrics, and apply rigorous statistical methodologies to draw insights that guide infrastructure and engineering decisions. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
MINIMUM QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
PREFERRED QUALIFICATIONS
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Responsibilities
- Lead analytics for cloud consumption products, such as Spot and DWS, focusing on improving VM reliability and optimizing resource efficiency.
- Collaborate on High-Visibility GMP Initiatives, work cross-functionally with the Google Maps Platform (GMP) engineering and product teams to develop and enhance agent analytics.
- Analyze complex system logs and apply rigorous statistical methodologies and next-generation AI technologies to extract insights.
- Establish core performance and reliability metrics to guide strategic infrastructure, product, and engineering decisions.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
ABOUT THE JOB
Google Cloud Platform (GCP) offers a suite of products ranging from Compute to Storage and ML. Operating at the forefront of AI using next-generation technology, our Cloud Analytics team focuses on understanding platform resources to provide analytical insights, improve product excellence, and support scalable growth. In this role, a primary focus of your work will involve product analytics for GCP's consumption products, such as Spot and Dynamic Workload Scheduler (DWS), analyzing and improving VM reliability to optimize overall resource usage and efficiency. Additionally, you will contribute to high-visibility projects, working cross-functionally with the Google Maps Platform (GMP) team on agent analytics while partnering with core engineering and product groups. To achieve this, you will analyze complex system logs, define key performance and reliability metrics, and apply rigorous statistical methodologies to draw insights that guide infrastructure and engineering decisions. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
MINIMUM QUALIFICATIONS
- Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
- 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
PREFERRED QUALIFICATIONS
- 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Responsibilities
- Lead analytics for cloud consumption products, such as Spot and DWS, focusing on improving VM reliability and optimizing resource efficiency.
- Collaborate on High-Visibility GMP Initiatives, work cross-functionally with the Google Maps Platform (GMP) engineering and product teams to develop and enhance agent analytics.
- Analyze complex system logs and apply rigorous statistical methodologies and next-generation AI technologies to extract insights.
- Establish core performance and reliability metrics to guide strategic infrastructure, product, and engineering decisions.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all 139+ H-1B1 Chile Visa Research Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Chile Visa Research Data Scientist Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Research Data Scientist
Align your degree to the role
H-1B1 Chile requires your degree field to directly match the Research Data Scientist position. A statistics, computer science, or applied mathematics degree maps cleanly, but a general business degree usually won't. Pull the O*NET profile for your target job title to confirm the accepted education fields before applying.
Document your research output formally
Consular officers reviewing Research Data Scientist petitions look for evidence of specialty occupation. Compile publications, conference presentations, or internal research reports into a portfolio your employer can reference in the LCA and supporting documentation they provide at the consulate appointment.
Target employers with active research divisions
Use Migrate Mate to filter for employers who have filed H-1B1 Chile LCAs for data science and research roles. Companies running active R&D operations are structurally more prepared to sponsor than those treating data science as a support function.
Confirm the LCA wage level before accepting an offer
Your employer files a Labor Condition Application with DOL certifying your wage meets the prevailing rate for your location and role. Run the OFLC Wage Search yourself using your job title and work site zip code so you can verify the offer aligns with Level I through IV thresholds before signing.
Get the LCA certified before scheduling your consulate appointment
The consulate won't process your H-1B1 Chile application without a DOL-certified LCA in hand. DOL typically certifies within seven business days, but your employer needs to initiate the filing at least ten days before your intended appointment date to meet the public notice requirement.
Prepare for specialty occupation scrutiny at the interview
Consular officers sometimes probe whether a Research Data Scientist role genuinely requires a specialized degree rather than general analytical skills. Be ready to explain how your graduate coursework or research methodology directly applies to the position's technical requirements as described in the job offer letter.
Frequently Asked Questions
Does a Research Data Scientist role qualify as a specialty occupation for the H-1B1 Chile visa?
Yes, Research Data Scientist positions typically qualify because they require at least a bachelor's degree in a specific field such as statistics, computer science, or a related quantitative discipline. The key is that the role must demonstrably require that specialized degree, not just prefer it. Your employer documents this requirement in the LCA and supporting offer letter submitted to the consulate.
How does the H-1B1 Chile visa compare to the H-1B for Research Data Scientist roles?
The H-1B1 Chile visa skips the H-1B lottery entirely and is processed at the U.S. consulate rather than through USCIS, which removes the petition filing step and the associated USCIS processing fees. The annual cap is 1,400 visas for Chilean nationals and has never been exhausted. The trade-off is that H-1B visa1 Chile doesn't allow dual intent, so it requires stronger evidence of nonimmigrant intent than H-1B.
How do I find employers who sponsor Research Data Scientist roles on the H-1B1 Chile visa?
Migrate Mate shows verified H-1B1 Chile LCA filing history by employer and occupation code, so you can identify companies that have actively sponsored data science and research roles rather than guessing based on company size or industry reputation. Filter by role type and location to narrow to employers already familiar with the H-1B1 Chile process.
Can I switch Research Data Scientist employers after arriving on an H-1B1 Chile visa?
Yes, but your new employer must file a fresh LCA with DOL and you'll need a new H-1B1 Chile visa stamp before re-entering the U.S. if you travel internationally after the change. Unlike H-1B portability, there's no mechanism to start work at a new employer while a transfer petition is pending, so timing the job change around your visa expiration matters.
What happens if my H-1B1 Chile visa application is denied at the consulate?
A consulate denial doesn't carry the same USCIS administrative record as an H-1B denial, but a 214(b) refusal for failure to demonstrate nonimmigrant intent is the most common issue for Research Data Scientist applicants. You can reapply with stronger documentation, typically an updated offer letter, additional evidence of ties to Chile, and a clearer explanation of the role's specialty occupation requirements.