Green Card Senior Staff Data Scientist Jobs
Senior Staff Data Scientist roles qualify for EB-2 sponsorship when the position requires an advanced degree in statistics, computer science, or a related field, and for EB-3 when employers document the role as a skilled position. PERM labor certification is the first step, requiring your employer to run a DOL-supervised recruitment process before filing your I-140 petition.
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Get Access To All JobsLocation: Austin, TX ; Southlake, TX
Requisition ID 2026-124610
Category Data Analytics and Strategy
Position type Regular
Pay range USD $145,000.00 - $205,000.00 / Year
Application deadline 2026-08-04
Your opportunity
At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. You’ll be part of a collaborative, technology-forward environment that values curiosity, continuous learning, and thoughtful problem-solving. Schwab Data is the centralized organization that manages and enables the use of data as a strategic asset across Schwab, supporting enterprise analytics, platforms, and data-driven decision-making. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do.
Schwab’s AI & Data Science organization is a centralized hub for delivering innovative production-ready AI and machine learning solutions that drive measurable business outcomes across the firm. The team partners with Schwab business units to identify high impact use cases, pilot innovative analytical solutions, and transition successful models into enterprise level production systems. Our mission is to accelerate the adoption of AI as a strategic product capability—ensuring models are scalable, reusable, governable, and continuously delivering value.
As a Staff Data Scientist, you will play an essential part in advancing Schwab’s capabilities by driving the design, development, and implementation of innovative AI and machine learning solutions that address complex, enterprise scale challenges. You’ll bridge advanced research and robust engineering, owning the end-to-end lifecycle of high-impact models. Successful candidates will work collaboratively across the organization with our business sponsors, development teams, and engineering partners. We are seeking a subject matter expert in all things AI, primed to identify and translate advanced analytical techniques, applications, and strategies into practical production-ready solutions.
What You’ll Do
Get hands-on with big data as you analyze, interpret, extract insights, and produce innovative AI solutions that enable advanced decisioning to leverage the latest algorithms, state-of-the-art techniques, and tools.
- Design and build end-to-end machine learning systems by defining scalable, reliable, and maintainable architectures that support data ingestion, feature generation, model training, evaluation, deployment, monitoring, and value measurement in production environments.
- Translate business strategy into technical execution by partnering with business stakeholders to convert high-level business objectives into clear, actionable data science and AI solutions that address critical business and technology challenges.
- Set and elevate engineering standards for data science by establishing best practices that treat data science as a rigorous engineering discipline, including modular code design, testing, version control, and production readiness.
- Advance technical capabilities in emerging areas by leading complex initiatives involving advanced machine learning, recommender systems, real-time and low-latency inference, or other evolving technologies that require deep technical expertise and comfort with ambiguity.
What you have
Required Qualifications
- 8+ years of experience in data science and machine learning.
- Advanced degree (Master’s or PhD) in a quantitative field such as computer engineering, statistics, mathematics, physics, chemistry, or related discipline.
- 6+ years of hands-on experience using Python and SQL to develop production-grade, modular, and optimized code.
- Proven ability to convert business requirements into technical end-to-end machine learning solutions delivered against roadmap milestones for multiple lines of business.
- Proven experience developing supervised and unsupervised machine learning solutions, with delivery supported by documented evaluation metrics, performance tracking, and value measurement.
- Experience in applying natural language processing techniques to unstructured data with delivery to production.
- Practical experience designing LLM solutions (such as retrieval-augmented generation, agent workflows, or fine-tuning), deployed for internal use.
- Strong software engineering fundamentals, including version control, CI/CD, and MLOps practices for production deployments.
Preferred Qualifications
- Strong background in statistics, forecasting, or causal inference.
- Hands-on experience architecting machine learning solutions within cloud ecosystems (GCP, AWS, Azure).
- Experience building, maintaining, and optimizing data pipelines that support machine learning workflows.
- Proven expertise in MLOps and production model monitoring.
- A demonstrated commitment to mentorship, including coaching senior data scientists or engineers and elevating team capability through feedback and code quality.
- Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization.
- Self-starter with strong organizational skills, attention to detail, and desire to continually reevaluate existing products and processes.
- Comfort in a dynamic, fast-moving environment, with a positive attitude, solid work ethic, and strong track record of performance.
"In addition to the salary range, this role is also eligible for bonus or incentive opportunities."
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
Location: Austin, TX ; Southlake, TX
Requisition ID 2026-124610
Category Data Analytics and Strategy
Position type Regular
Pay range USD $145,000.00 - $205,000.00 / Year
Application deadline 2026-08-04
Your opportunity
At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. You’ll be part of a collaborative, technology-forward environment that values curiosity, continuous learning, and thoughtful problem-solving. Schwab Data is the centralized organization that manages and enables the use of data as a strategic asset across Schwab, supporting enterprise analytics, platforms, and data-driven decision-making. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do.
Schwab’s AI & Data Science organization is a centralized hub for delivering innovative production-ready AI and machine learning solutions that drive measurable business outcomes across the firm. The team partners with Schwab business units to identify high impact use cases, pilot innovative analytical solutions, and transition successful models into enterprise level production systems. Our mission is to accelerate the adoption of AI as a strategic product capability—ensuring models are scalable, reusable, governable, and continuously delivering value.
As a Staff Data Scientist, you will play an essential part in advancing Schwab’s capabilities by driving the design, development, and implementation of innovative AI and machine learning solutions that address complex, enterprise scale challenges. You’ll bridge advanced research and robust engineering, owning the end-to-end lifecycle of high-impact models. Successful candidates will work collaboratively across the organization with our business sponsors, development teams, and engineering partners. We are seeking a subject matter expert in all things AI, primed to identify and translate advanced analytical techniques, applications, and strategies into practical production-ready solutions.
What You’ll Do
Get hands-on with big data as you analyze, interpret, extract insights, and produce innovative AI solutions that enable advanced decisioning to leverage the latest algorithms, state-of-the-art techniques, and tools.
- Design and build end-to-end machine learning systems by defining scalable, reliable, and maintainable architectures that support data ingestion, feature generation, model training, evaluation, deployment, monitoring, and value measurement in production environments.
- Translate business strategy into technical execution by partnering with business stakeholders to convert high-level business objectives into clear, actionable data science and AI solutions that address critical business and technology challenges.
- Set and elevate engineering standards for data science by establishing best practices that treat data science as a rigorous engineering discipline, including modular code design, testing, version control, and production readiness.
- Advance technical capabilities in emerging areas by leading complex initiatives involving advanced machine learning, recommender systems, real-time and low-latency inference, or other evolving technologies that require deep technical expertise and comfort with ambiguity.
What you have
Required Qualifications
- 8+ years of experience in data science and machine learning.
- Advanced degree (Master’s or PhD) in a quantitative field such as computer engineering, statistics, mathematics, physics, chemistry, or related discipline.
- 6+ years of hands-on experience using Python and SQL to develop production-grade, modular, and optimized code.
- Proven ability to convert business requirements into technical end-to-end machine learning solutions delivered against roadmap milestones for multiple lines of business.
- Proven experience developing supervised and unsupervised machine learning solutions, with delivery supported by documented evaluation metrics, performance tracking, and value measurement.
- Experience in applying natural language processing techniques to unstructured data with delivery to production.
- Practical experience designing LLM solutions (such as retrieval-augmented generation, agent workflows, or fine-tuning), deployed for internal use.
- Strong software engineering fundamentals, including version control, CI/CD, and MLOps practices for production deployments.
Preferred Qualifications
- Strong background in statistics, forecasting, or causal inference.
- Hands-on experience architecting machine learning solutions within cloud ecosystems (GCP, AWS, Azure).
- Experience building, maintaining, and optimizing data pipelines that support machine learning workflows.
- Proven expertise in MLOps and production model monitoring.
- A demonstrated commitment to mentorship, including coaching senior data scientists or engineers and elevating team capability through feedback and code quality.
- Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization.
- Self-starter with strong organizational skills, attention to detail, and desire to continually reevaluate existing products and processes.
- Comfort in a dynamic, fast-moving environment, with a positive attitude, solid work ethic, and strong track record of performance.
"In addition to the salary range, this role is also eligible for bonus or incentive opportunities."
What’s in it for you
At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.
We offer a competitive benefits package that takes care of the whole you – both today and in the future:
- 401(k) with company match and Employee stock purchase plan
- Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
- Paid parental leave and family building benefits
- Tuition reimbursement
- Health, dental, and vision insurance
Eligible Schwabbies receive
- Medical, dental and vision benefits
- 401(k) and employee stock purchase plans
- Tuition reimbursement to keep developing your career
- Paid parental leave and adoption/family building benefits
- Sabbatical leave available after five years of employment
See all 384+ Green Card Senior Staff Data Scientist Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card Senior Staff Data Scientist Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as a Senior Staff Data Scientist
Align your credentials to EB-2 requirements
EB-2 requires a U.S. master's degree or foreign equivalent, or a U.S. bachelor's plus five years of progressive experience. Document your advanced degree transcripts and promotion history now, before your employer files the PERM application.
Target employers with active PERM filing history
Search the DOL's OFLC Wage Search to identify which companies have certified PERM applications for data science roles. Employers who've run this process before move faster and make fewer filing errors than first-timers.
Use Migrate Mate to filter sponsoring employers
Finding Senior Staff Data Scientist openings at companies willing to sponsor a green card takes more than a keyword search. Migrate Mate filters jobs by employers with verified EB-2 and EB-3 sponsorship history, saving you from applying to roles with no realistic path to permanence.
Negotiate the PERM job description before signing
The PERM application locks in the job duties and minimum requirements. Get your offer letter to specify that the role requires an advanced degree or equivalent experience, so the EB-2 category is defensible if USCIS scrutinizes the educational requirement later.
Understand how country of birth affects your wait
EB-2 and EB-3 priority dates move faster for most countries, but nationals born in India or China face significantly longer backlogs due to per-country caps. Check the USCIS Visa Bulletin before accepting an offer to map your realistic timeline to a green card.
Verify your employer's E-Verify enrollment status
Some companies are required to use E-Verify, and PERM-based sponsorship often coexists with it. Confirm enrollment before your start date so employment authorization paperwork doesn't stall your I-485 adjustment of status filing down the line.
Green Card Senior Staff Data Scientist: Frequently Asked Questions
Does a Senior Staff Data Scientist role qualify for EB-2 or EB-3 sponsorship?
Most Senior Staff Data Scientist positions qualify for EB-2 because employers typically require a master's degree in data science, statistics, machine learning, or a related field. If your offer letter specifies only a bachelor's degree with experience, the role may fall under EB-3 instead. The PERM application's minimum requirements determine which category applies, so the job description language matters.
How does PERM green card sponsorship differ from H-1B for this role?
The H-1B visa is a temporary work visa with a three-year initial period and an annual lottery for cap-subject petitions. PERM sponsorship leads to permanent residency with no lottery and no cap at the EB-3 level for most nationalities. The tradeoff is timeline: PERM requires a DOL-supervised recruitment campaign before the I-140 petition, making the full process longer but the outcome permanent.
How long does the green card process take for a Senior Staff Data Scientist?
For nationals born outside India and China, the EB-2 and EB-3 categories are frequently current, meaning the full PERM-to-green-card timeline often runs two to four years depending on DOL processing, USCIS adjudication, and consular or adjustment of status backlogs. Indian and Chinese nationals face multi-year or multi-decade waits due to per-country caps, making priority date management a critical part of any long-term plan.
What documentation do I need to support my PERM application as a data scientist?
Your employer will need to document that the job's minimum requirements match the duties, not your personal qualifications. You'll need official transcripts, degree certificates, and a detailed employment history showing progressive experience if substituting work history for an advanced degree. Foreign degrees must typically be evaluated by a credential evaluation service recognized by USCIS to confirm U.S. degree equivalency.
Where can I find Senior Staff Data Scientist jobs that include green card sponsorship?
Most standard job boards don't filter by sponsorship type, so it's hard to distinguish roles offering PERM sponsorship from those offering only H-1B transfers. Migrate Mate is built specifically to surface jobs at employers with verified employment-based green card sponsorship history, letting you search Senior Staff Data Scientist openings where EB-2 or EB-3 sponsorship is a realistic outcome, not just a checkbox in the listing.