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# Senior Data Scientist

- **Company:** Charles Schwab Inc.
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Tensorflow, SQL Databases, Google Cloud, Cloud Platform System, Retrieval-Augmented Generation, Generative AI, Agentic-AI, Information Technology, Data Analytics, Machine Learning Operations
- **Published:** November 5, 2026
- **Apply:** https://www.austinjobsite.com/job.asp?id=3496680922&tx=IT8982THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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, * 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