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 productionmodelmonitoring.?
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.?
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
What's in it for you:
At Schwab, we're committed to empowering our employees' personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you'll get the tools you need to make a positive difference in the finance industry. 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
Schwab is an affirmative action employer, focused on employing and advancing in employment, qualified women, racial and ethnic minorities, protected veterans, and individuals with disabilities in the workplace. If you have a disability and require reasonable accommodations in the application process, contact Human Resources at applicantaccessibility@schwab.com or call 800-275-1281.
