Senior Data Scientist
Pay range
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
Not included in the source posting: about the role, what you'll do, benefits.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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