Staff Data Scientist

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.

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