Senior AI and Data Scientist
Pay range
Get hands-on with big data
- end machine learning systems
Translate business strategy into technical execution
Set and elevate engineering standards for data science
Advance technical capabilities in emerging areas
What you have
Required Qualifications
- 8+ years of experience in data science and machine learning.
- Advanced degree (Master's or PhD) in a quantitative field such as computer engineering, statistics, mathematics, physics, chemistry, or related discipline.
- 6+ years of hands-on experience using Python and SQL to develop production-grade, modular, and optimized code.
- Proven ability to convert business requirements into technical end-to-end machine learning solutions delivered against roadmap milestones for
two or more
lines of business.
- Proven experience developing supervised and unsupervised machine learning solutions, with delivery of three or more distinct models supported by documented evaluation metrics, performance tracking, and value measurement.
- Experience in applying natural language processing techniques to unstructured data with at least one solution delivered to production.
- Practical experience designing LLM solutions (such as retrieval-augmented generation, agent workflows, or fine-tuning), including at least one LLM system deployed for internal use.
- Strong software engineering fundamentals, including version control, CI/CD, and MLOps practices, demonstrated through three or more production deployments.
Preferred Qualifications
- Experience working in financial services or other highly regulated industries.
- Strong background in statistics, forecasting, or causal inference.
- Hands-on experience architecting machine learning solutions within cloud ecosystems.
- Experience building, maintaining, and optimizing data pipelines that support machine learning workflows.
- Experience developing large-scale recommender or personalization systems.
- A demonstrated commitment to mentorship, including coaching senior data scientists or engineers and elevating team capability through feedback and code quality.
- Outstanding verbal and written communication skills with demonstrated ability to communicate effectively with all levels of the organization.
- Self-starter with strong organizational skills, attention to detail, and desire to continually reevaluate existing products and processes.
- Comfort in a dynamic, fast-moving environment, with a positive attitude, solid work ethic, and strong track records of performance.
In addition to the salary range, this role is also 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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