STEM OPT Senior Data Science Engineer Jobs
Senior Data Science Engineer roles qualify for STEM OPT when your degree falls under an eligible CIP code in computer science, statistics, or a related STEM field. Your employer must be enrolled in E-Verify, and the 24-month extension gives you up to 36 months total to build experience, clear H-1B visa cap-gap, and transition to long-term sponsorship.
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Get Access To All JobsINTRODUCTION
The Global Servicing Decision Science (GSDS) team is the Decision Science engine for Global Servicing, bringing together advanced analytics, data science, AI/GenAI, and decisioning to transform servicing experiences, empower colleagues, and enable intelligent operations. GSDS serves as a centralized Decision Science Center of Excellence, partnering across Product/Capabilities, Control Management, Strategy, Operations, Technology, and enterprise analytics and data science teams.
GSDS builds and scales servicing intelligence across Global Servicing—from predictive and proactive servicing, personalization, next-best-action and journey orchestration to conversational AI, agent assist, AI-powered coaching, conduct and quality monitoring, and complaint and dispute intelligence. Our mandate is to build durable, production-ready capabilities that continuously improve decisions through prediction, recommendation, optimization, experimentation, and learning.
As a Manager, you will contribute to and increasingly own end-to-end Decision Science work that helps build the next generation of servicing intelligence at American Express. You will translate customer, colleague, and operational challenges into analytical approaches, models, experiments, and scalable AI-driven solutions, working with business and Technology partners to move capabilities from concept through implementation and optimization.
This role combines hands-on technical depth with strong business problem solving. You will work on modern capabilities—including Agentic AI, transformer-based recommendation systems, and Conversational AI—while building your ability to lead workstreams, influence partners, and connect technical solutions to measurable customer and business outcomes.
BASIC QUALIFICATIONS
- Bachelor’s degree in quantitative fields (e.g., Engineering, Computer Science, Mathematics, Statistics, Economics, Finance).
- Strong analytical and conceptual problem-solving skills, with the ability to structure and solve business problems and work through ambiguity.
- Strong hands-on foundation in data science and machine learning, with proficiency in Python, SQL, or similar tools and experience building and evaluating predictive or decisioning models.
- Experience applying AI/GenAI techniques, with a strong technical foundation in solution development, experimentation, and model/AI evaluation.
- Experience owning analytical workstreams and collaborating across cross-functional teams to move solutions from analysis and development toward implementation and measurable impact.
- Strong written and verbal communication skills, with the ability to translate technical work into clear business recommendations and collaborate effectively with stakeholders.
PREFERRED QUALIFICATIONS
- Experience with Agentic AI/agentic workflows, transformer architectures or transformer-based recommendation systems, Conversational AI, LLMs, or related modern AI capabilities.
- Experience with personalization, recommendation systems, next-best-action, optimization, customer decisioning, or intelligent automation.
- Understanding of the end-to-end Decision Science lifecycle, including experimentation, productionization, monitoring, governance, and continuous optimization.
- Experience working with large-scale customer, behavioral, interaction, or operational datasets and developing reusable data science products.
- Developing commercial acumen and storytelling skills, with the ability to connect analytical and technical choices to customer and business value.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.
INTRODUCTION
The Global Servicing Decision Science (GSDS) team is the Decision Science engine for Global Servicing, bringing together advanced analytics, data science, AI/GenAI, and decisioning to transform servicing experiences, empower colleagues, and enable intelligent operations. GSDS serves as a centralized Decision Science Center of Excellence, partnering across Product/Capabilities, Control Management, Strategy, Operations, Technology, and enterprise analytics and data science teams.
GSDS builds and scales servicing intelligence across Global Servicing—from predictive and proactive servicing, personalization, next-best-action and journey orchestration to conversational AI, agent assist, AI-powered coaching, conduct and quality monitoring, and complaint and dispute intelligence. Our mandate is to build durable, production-ready capabilities that continuously improve decisions through prediction, recommendation, optimization, experimentation, and learning.
As a Manager, you will contribute to and increasingly own end-to-end Decision Science work that helps build the next generation of servicing intelligence at American Express. You will translate customer, colleague, and operational challenges into analytical approaches, models, experiments, and scalable AI-driven solutions, working with business and Technology partners to move capabilities from concept through implementation and optimization.
This role combines hands-on technical depth with strong business problem solving. You will work on modern capabilities—including Agentic AI, transformer-based recommendation systems, and Conversational AI—while building your ability to lead workstreams, influence partners, and connect technical solutions to measurable customer and business outcomes.
BASIC QUALIFICATIONS
- Bachelor’s degree in quantitative fields (e.g., Engineering, Computer Science, Mathematics, Statistics, Economics, Finance).
- Strong analytical and conceptual problem-solving skills, with the ability to structure and solve business problems and work through ambiguity.
- Strong hands-on foundation in data science and machine learning, with proficiency in Python, SQL, or similar tools and experience building and evaluating predictive or decisioning models.
- Experience applying AI/GenAI techniques, with a strong technical foundation in solution development, experimentation, and model/AI evaluation.
- Experience owning analytical workstreams and collaborating across cross-functional teams to move solutions from analysis and development toward implementation and measurable impact.
- Strong written and verbal communication skills, with the ability to translate technical work into clear business recommendations and collaborate effectively with stakeholders.
PREFERRED QUALIFICATIONS
- Experience with Agentic AI/agentic workflows, transformer architectures or transformer-based recommendation systems, Conversational AI, LLMs, or related modern AI capabilities.
- Experience with personalization, recommendation systems, next-best-action, optimization, customer decisioning, or intelligent automation.
- Understanding of the end-to-end Decision Science lifecycle, including experimentation, productionization, monitoring, governance, and continuous optimization.
- Experience working with large-scale customer, behavioral, interaction, or operational datasets and developing reusable data science products.
- Developing commercial acumen and storytelling skills, with the ability to connect analytical and technical choices to customer and business value.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: https://www.eeoc.gov/poster.
See all STEM OPT Senior Data Science Engineer Jobs
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior Data Science Engineer
Verify your CIP code before applying
Check that your degree's CIP code appears on the DHS STEM OPT designated degree program list. Computer science, statistics, and applied mathematics codes commonly support Senior Data Science Engineer roles, but data-adjacent business degrees may not qualify without a secondary STEM credential.
Confirm E-Verify enrollment before accepting offers
Ask recruiters directly whether the hiring entity, not just the parent company, is enrolled in E-Verify. Subsidiaries and staffing intermediaries sometimes operate under separate Employer Identification Numbers, so E-Verify enrollment at the wrong entity level can invalidate your STEM OPT extension.
File your I-983 training plan before day one
Your DSO must sign the I-983 before you start work. For Senior Data Science Engineer roles, map your training goals to specific project deliverables, model development cycles, and mentorship structures. A vague plan risks SEVP audit findings that can jeopardize your authorization.
Target employers with H-1B filing history
Use Migrate Mate to filter Senior Data Science Engineer roles by employers whose DOL Labor Condition Application history shows consistent STEM sponsorship. This removes companies that hire OPT students as short-term contractors but decline to support the H-1B transition you'll need before your 36 months run out.
Use OFLC Wage Search to benchmark your offer
Look up the prevailing wage for your SOC code and geographic area in OFLC Wage Search before negotiating. Your employer's LCA must certify at least the prevailing wage level, so an offer below that threshold is a compliance problem, not just a negotiation issue.
Start cap-gap planning at 24 months, not 36
If your employer files an H-1B petition before your STEM OPT expires and you're selected in the lottery, cap-gap rules extend your work authorization through September 30. Submit all supporting documents to USCIS promptly so there's no gap between your OPT end date and the H-1B start date.
Frequently Asked Questions
Does a Senior Data Science Engineer role qualify for STEM OPT?
Yes, if your degree is listed on the DHS STEM OPT designated degree program list under an eligible CIP code, and the role requires that STEM knowledge in a direct, substantive way. Degrees in computer science, statistics, data science, and applied mathematics commonly support this role. Check your I-20 to confirm the CIP code your DSO recorded, because that code, not your job title, determines eligibility.
What E-Verify requirement applies to my STEM OPT employer?
Your employer must be actively enrolled in E-Verify at the specific worksite location where you'll work. Enrollment at a parent company or affiliated entity doesn't satisfy the requirement if you're employed by a subsidiary with a different EIN. Verify enrollment status directly with your recruiter or HR contact before signing an offer letter, since working for a non-enrolled employer voids your STEM OPT extension.
What goes into the I-983 training plan for a data science role?
The I-983 must describe the practical training goals, the skills you'll develop, and how those skills connect to your STEM degree. For a Senior Data Science Engineer position, this typically includes objectives around machine learning model development, data pipeline architecture, experimental design, and performance evaluation. Your employer's authorized representative and your DSO both sign the form, and it must be completed before your first day of work.
How does cap-gap work if I'm on STEM OPT and selected in the H-1B lottery?
If your employer files a timely H-1B petition on your behalf and USCIS selects it in the lottery, cap-gap automatically extends your work authorization from your OPT end date through September 30 of that year. Your H-1B then takes effect October 1. You can continue working during the cap-gap period as long as the petition remains pending or approved. Keep your I-20 and EAD documents current throughout this window.
Where can I find Senior Data Science Engineer jobs with verified STEM OPT sponsorship?
Migrate Mate lists Senior Data Science Engineer roles filtered for employers enrolled in E-Verify and with documented STEM sponsorship history based on DOL Labor Condition Application data. You can also cross-reference the O*NET profile for this occupation to identify the SOC code and confirm that your target roles align with your degree's CIP code before applying.