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Charles Schwab · Austin, TX

# Senior Data Scientist

Austin, Texas, United States +1 more Full-time Senior individual contributor {'@type': 'MonetaryAmount', 'currency': 'USD', 'value': {'@type': 'QuantitativeValue', 'minValue': 155000, 'maxValue': 200000, 'unitText': 'YEAR'}} Data & Analytics 

Listed on Charles Schwab’s official careers site. Posted October 27, 2026. Check that it is still open and apply there.
[Apply on Charles Schwab’s careers site →](https://www.schwabjobs.com/job/austin/senior-data-scientist/33727/99549604000)

[OpenNash Jobs](https://jobs.opennash.com/) / [Charles Schwab](https://jobs.opennash.com/companies/charles-schwab/) / Senior Data Scientist

## Job description

Your opportunity At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). 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. What you have

### Required Qualifications
- 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

### Preferred Qualifications

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 In addition to the salary range, this role is eligible for bonus or incentive opportunities.

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

## At a glance
- Posted by the employer: Oct 27, 2026
- First seen by OpenNash: Nov 1, 2026
- Last checked: Nov 1, 2026
- Listed for: 5 days
- Location: Austin, Texas, United States +1 more
- Employment type: Full-time
- Pay: {'@type': 'MonetaryAmount', 'currency': 'USD', 'value': {'@type': 'QuantitativeValue', 'minValue': 155000, 'maxValue': 200000, 'unitText': 'YEAR'}}[Apply on Charles Schwab’s careers site →](https://www.schwabjobs.com/job/austin/senior-data-scientist/33727/99549604000)

## Hiring at Charles Schwab
- Open jobs: 329
- New in the last 7 days: After two weekly collections
- Tracked since: Jul 10, 2026

[All Charles Schwab jobs](https://jobs.opennash.com/companies/charles-schwab/) · [Weekly hiring report](/reports/hiring/)

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Dates come from the employer where stated; “first seen” and “last checked” are our own observations.

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