Senior Data Scientist
About The Position
At Schwab, the role is intended to work on site in the specified location(s), reflecting the company’s emphasis on in-office collaboration. Schwab Technology Services provides technology products and services that support clients’ money management and access to investing and financial planning. Schwab’s AI & Data Science organization works on client and employee experiences through advanced analytics, machine learning, and generative AI. The Senior AI & Data Scientist leads advanced analytics, machine learning, generative AI, and data science solutions to address complex business challenges and create measurable value. The role leads and develops a team of AI and Data Science professionals and partners with business, product, engineering, risk, and operations teams to define AI roadmaps and advance high-impact solutions from concept to production. It also evaluates emerging technologies, influences enterprise AI strategy, and establishes 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 advanced analytics, machine learning, generative AI, and data science solutions that solve complex business challenges and create measurable value.
- Lead and develop a team of AI and Data Science professionals.
- Partner with business, product, engineering, risk, and operations teams to define AI roadmaps.
- Move high-impact solutions from concept to production.
- Evaluate emerging technologies and influence enterprise AI strategy.
- Establish scalable practices for responsible AI, governance, MLOps, and enterprise deployment.
- Provide technical subject matter expertise, mentorship, code reviews, and guidance on AI/ML best practices.
- Lead cross-functional projects and deliver complex initiatives from concept through implementation.
- Translate business requirements into scalable, data-driven solutions with business and technology stakeholders.
Benefits
- Bonus or incentive opportunities in addition to the salary range.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
