H-1B1 Chile Visa Scientist Jobs
H-1B1 Chile visa sponsorship lets Chilean scientists work in the U.S. without entering the H-1B lottery. With an annual cap of 1,400 visas that rarely fills and consulate-based processing under the U.S.-Chile Free Trade Agreement, qualified Scientist candidates can move faster than most work visa applicants.
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Get Access To All JobsINTRODUCTION
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of records to unlock the big opportunities that help us manage risk so everyday people save money, time and agony in their financial lives.
Team Description
The Operational Risk Analytics, Innovation, and Reporting team owns and drives end-to-end data analysis and reporting of Capital One’s operational risk performance, delivering critical insights to Senior Executives and the Board. The team is responsible for the governance, monitoring, and analysis of operational risk data, as well as developing data-driven insights to inform strategic risk management decisions and practices. As a Senior Data Scientist you’ll be part of a team that’s leading the next wave of disruption in risk data at a whole new scale. You will use the latest in computing and machine learning technologies to unlock the big opportunities that help drive efficiency and improve risk management, and you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. You will be the driving force to experiment, innovate, and create next-generation features powered by the latest emerging NLP and Generative AI technologies. If you love a fast-paced, highly rewarding environment, and you love being a builder and communicator, this is the place for you.
In this role, you will:
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
- Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
- Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
- Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
- A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- Experience working with AWS
- At least 2 years of experience in Python, Scala, or R
- At least 2 years of experience with machine learning
- At least 2 years of experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
-
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
-
McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science
- New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science
- Richmond, VA: $123,300 - $140,700 for Sr Assoc, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
INTRODUCTION
Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of records to unlock the big opportunities that help us manage risk so everyday people save money, time and agony in their financial lives.
Team Description
The Operational Risk Analytics, Innovation, and Reporting team owns and drives end-to-end data analysis and reporting of Capital One’s operational risk performance, delivering critical insights to Senior Executives and the Board. The team is responsible for the governance, monitoring, and analysis of operational risk data, as well as developing data-driven insights to inform strategic risk management decisions and practices. As a Senior Data Scientist you’ll be part of a team that’s leading the next wave of disruption in risk data at a whole new scale. You will use the latest in computing and machine learning technologies to unlock the big opportunities that help drive efficiency and improve risk management, and you will do it all in a collaborative environment that values your insight, encourages you to take on new responsibility, promotes continuous learning, and rewards innovation. You will be the driving force to experiment, innovate, and create next-generation features powered by the latest emerging NLP and Generative AI technologies. If you love a fast-paced, highly rewarding environment, and you love being a builder and communicator, this is the place for you.
In this role, you will:
- Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love
- Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data
- Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation
- Flex your interpersonal skills to translate the complexity of your work into tangible business goals
The Ideal Candidate is:
- Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
- Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
- Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
- Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
- A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
- Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
- A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics
- A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration
Preferred Qualifications:
- Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
- Experience working with AWS
- At least 2 years of experience in Python, Scala, or R
- At least 2 years of experience with machine learning
- At least 2 years of experience with SQL
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
COMPENSATION
-
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
-
McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science
- New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science
- Richmond, VA: $123,300 - $140,700 for Sr Assoc, Data Science
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non-discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please.
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com.
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
See all 421+ H-1B1 Chile Visa Scientist Jobs
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Get Access To All JobsTips for Finding Visa Sponsorship as a Scientist
Verify your degree field matches the role
H-1B1 visa requires a specialty occupation with a directly related bachelor's degree or higher. For Scientist roles, confirm your Chilean degree transcript specifies a field that maps to the position's SOC code before applying.
Search employers with active LCA filings
Use the OFLC Wage Search to find companies that have filed Labor Condition Applications for Scientist or related SOC codes. Employers already familiar with H-1B1 Chile filings move through the LCA step significantly faster than first-timers.
Find H-1B1 Chile Scientist jobs on Migrate Mate
Migrate Mate filters job listings by H-1B1 Chile visa sponsorship and shows verified DOL filing history by employer and occupation, so you target companies that have already demonstrated willingness to sponsor Chilean professionals in scientific roles.
Get your credentials evaluated before outreach
Chilean university transcripts and three-year degree programs need a formal equivalency evaluation before most U.S. employers will assess your application. Complete this step through a NACES-member evaluator so hiring managers don't stall on credential questions.
Ask employers about LCA timing during negotiation
Unlike H-1B, the H-1B1 visa petition is filed at the consulate after you receive a job offer, but the employer still must file an LCA with DOL first. Confirm your offer letter specifies which party covers LCA preparation costs before you sign.
Prepare for consular specialty occupation questions
Consular officers assess whether your Scientist role genuinely requires a specialized degree. Bring your offer letter, a detailed job duties description, and your degree certificate to the interview so the officer can verify the degree-to-role connection directly.
Frequently Asked Questions
Do Scientist roles qualify as a specialty occupation for the H-1B1 Chile visa?
Yes, most Scientist positions qualify because they require at least a bachelor's degree in a specific scientific field such as biology, chemistry, physics, or environmental science. The consular officer evaluates whether your actual job duties require that specialized degree, not just whether the title sounds scientific. Roles where any general degree suffices are less likely to qualify.
How does the H-1B1 Chile visa compare to H-1B for Chilean scientists?
The H-1B1 Chile visa has no lottery and an annual cap of 1,400 visas that has never been exhausted, so qualified Chilean scientists can apply at the consulate without waiting for a random selection. H-1B requires USCIS lottery registration and employer-side USCIS petition filing. The trade-off is that H-1B1 does not allow dual intent, meaning you cannot use it while pursuing permanent residence.
How can I find U.S. employers willing to sponsor H-1B1 Chile visas for Scientist positions?
Migrate Mate is built specifically for this search. It surfaces job listings filtered by H-1B1 Chile visa sponsorship and shows each employer's DOL Labor Condition Application filing history by occupation code, so you can confirm a company has sponsored Scientist roles before investing time in an application.
What documents does my employer need to file before my consulate interview?
Your employer must file a certified Labor Condition Application with DOL before you can apply for the H-1B1 Chile visa at the consulate. The LCA certifies that the offered wage meets the prevailing wage for the role and location, and that hiring you won't adversely affect U.S. workers. You bring the certified LCA, your offer letter, and supporting documents to your consular interview.
Can I renew my H-1B1 Chile visa if my Scientist research project extends beyond the initial period?
H-1B1 Chile visas are granted in one-year increments and can be renewed indefinitely as long as you maintain qualifying employment. Each renewal requires a new LCA from your employer. Because the visa doesn't allow dual intent, ongoing renewals work best when you're not simultaneously pursuing an immigrant visa pathway tied to the same employer.