This listing pays about $177,500 a year. Across 63 open senior data scientist listings that state pay, the middle half runs $171,500 to $226,000 and the median is $200,000. That is inside the middle half of those listings, 11% below the median.

Listed pay is what employers advertise, not what people are paid.

Senior Data Scientist salaries by state · Check your own pay

How AI is used in this kind of work

Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

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