Senior Data Scientist

Charles Schwab Inc.•Austin, TX

18d•$155,000 - $200,000•Onsite

About The Position

Schwab Technology Services enables the future of how clients manage their money by delivering innovative, reliable technology products and services that support our commitment to democratizing access to investing and financial planning. Schwab's AI & Data Science organization helps shape the future of client and employee experiences through advanced analytics, machine learning, and generative AI. As a Senior AI & Data Scientist, you will help shape the future of client and employee experiences by leading advanced analytics, machine learning, generative AI, and data science solutions that solve complex business challenges and create measurable value. In this role, you will lead and develop a team of AI and Data Science professionals while partnering across business, product, engineering, risk, and operations teams to define AI roadmaps and move high-impact solutions from concept to production. Your ability to combine technical expertise, product thinking, project leadership, and sound decision-making will be key as you evaluate emerging technologies, influence enterprise AI strategy, and establish scalable practices for responsible AI, governance, MLOps, and enterprise deployment.

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field
8+ years of experience in Data Science, Machine Learning, Artificial Intelligence, Predictive Analytics, or Advanced Analytics
3+ years of experience serving as a technical subject matter expert, providing mentorship, code reviews, and guidance on AI/ML best practices.
3+ years of hands-on experience designing, developing, and deploying machine learning or AI solutions in production environments
Demonstrated experience with machine learning, statistical modeling, predictive analytics, natural language processing, and/or Generative AI
Proficiency in Python, SQL, and modern AI/ML frameworks and tools
Experience translating business requirements into scalable, data-driven solutions in partnership with business and technology stakeholders
Experience leading cross-functional projects and delivering complex initiatives from concept through implementation
Strong analytical thinking, problem-solving, communication, and stakeholder management skills

Nice To Haves

Master’s or Ph.D. degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Engineering, or a related field
Experience leading teams that develop Generative AI, Large Language Model, Retrieval-Augmented Generation, Agentic AI, or NLP-based solutions
Experience building and deploying AI/ML solutions in cloud environments such as Azure, AWS, or Google Cloud
Product management or product strategy experience, including identifying opportunities and defining AI-enabled roadmaps
Experience with MLOps, model governance, responsible AI, model monitoring, and enterprise-scale deployment practices
Prior experience in financial services, digital products, client experience, risk management, compliance, or related domains
Experience evaluating and adopting emerging AI technologies to drive innovation and operational efficiency
Demonstrated ability to influence senior leaders and drive alignment across business, product, engineering, and data science teams
Professional certifications in AI, Machine Learning, Cloud Computing, Data Science, Agile, or Project Management
Passion for mentoring and developing technical talent while fostering a culture of innovation, experimentation, and continuous learning

Responsibilities

Lead and develop a team of AI and Data Science professionals.
Partner across business, product, engineering, risk, and operations teams to define AI roadmaps.
Move high-impact solutions from concept to production.
Evaluate emerging technologies.
Influence enterprise AI strategy.
Establish scalable practices for responsible AI, governance, MLOps, and enterprise deployment.