Charles Schwab

Principal Data Scientist

Charles Schwab • $140K — $180K *
Austin, TX 78745In-Person
Finance & Insurance
8 - 10 years of experience
Reposted 3 days ago
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 10+ years in data science and machine learning
  • 3+ years as a senior-level contributor with technical ownership
  • Advanced degree in a quantitative field
  • 8+ years of Python and SQL experience in production environments
  • Experience delivering end-to-end machine learning solutions with real-time use cases
  • Proven record of developing multiple machine learning models
  • Experience with natural language processing techniques
  • Hands-on experience with large language model solutions
  • Strong software engineering fundamentals including CI/CD and version control

Responsibilities

  • Design and build scalable machine learning systems for production environments
  • Translate business strategies into actionable AI and data science roadmaps
  • Establish and elevate engineering standards for data science
  • Lead initiatives in advanced machine learning and real-time inference systems

Benefits

  • Eligibility for bonus or incentive opportunities
Full Job Description
Organization / Role Description

In this role, you will be part of the Schwab AI & Data Science organization operating as a high-leverage, senior individual contributor, designing and helping deliver production-ready AI and machine learning systems that address complex, enterprise scale challenges.  You will leverage deep expertise in advanced model building and deployment, acting as a hands-on technical authority who directly influences and supports engineering teams across the organization. A key focus will be providing architectural leadership and influencing technical strategy for real-time and low-latency systems to accelerate the firm’s AI and production ML maturity. This position offers the opportunity to shape how advanced data science capabilities are built, scaled, and operationalized across the organization.

Key Responsibilities
  • Design and build end‑to‑end machine learning systems by defining scalable, reliable, and maintainable architectures that support data ingestion, feature generation, model training, evaluation, deployment, and monitoring in production environments.
  • Translate business strategy into technical execution by partnering with senior leaders to convert high‑level business objectives into clear, actionable data science and AI roadmaps that address critical business and technology challenges.
  • Set and elevate engineering standards for data science by establishing best practices that treat data science as a rigorous engineering discipline, including modular code design, testing, version control, and production readiness.
  • Advance technical capabilities in emerging areas by leading complex initiatives involving advanced machine learning, recommender systems, real‑time and low‑latency inference, or other evolving technologies that require deep technical expertise and comfort with ambiguity.
What you have Required Qualifications
  • 10+ years of experience in data science and machine learning, including 3+ years operating as a senior‑ or staff‑level individual contributor with significant technical ownership.
  • Advanced degree (Master’s or PhD) in a quantitative field such as computer engineering, statistics, mathematics, physics, chemistry, or a related discipline.
  • 8+ years of hands‑on experience using Python and SQL to develop production‑grade, modular, and optimized code.
  • Demonstrated ability to architect and deliver end‑to‑end machine learning solutions, with evidence of at least two production systems supporting real‑time or low‑latency use cases.
  • Proven experience developing supervised and unsupervised machine learning solutions, with delivery of five or more distinct models or analytical systems supported by documented evaluation metrics and performance tracking.
  • Experience applying natural language processing techniques to unstructured data, supported by two or more delivered analyses or production components.
  • Practical experience designing large language model solutions (such as retrieval‑augmented generation, agent workflows, or fine‑tuning), including at least one end‑to‑end LLM system deployed for production or broad internal use.
  • Strong software engineering fundamentals, including version control, CI/CD, and MLOps practices, demonstrated through three or more production deployments.
  • Proven ability to convert business requirements into technical roadmaps, including ownership or co‑ownership of two or more roadmaps reviewed with senior stakeholders and delivered against defined milestones.
  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.

 

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

About Charles Schwab

Charles Schwab is a financial services company that provides a full range of securities, brokerage, banking, money management, financial advisory, investor, and retirement plan services. It operates in four main divisions; investing, wealth management, banking, and trading. Charles Schwab provides a full-service brokerage platform that serves individual investors who invest on their own or through a workplace-sponsored retirement or equity plan, as well as banking through Schwab Bank. The firm was founded in 1973 and is headquartered in San Francisco, California.

Charles Schwab Careers

Join the vibrant team at Charles Schwab, a leader in global finance, where your career is propelled by innovation, leadership, and a commitment to diversity and professional growth. At Charles Schwab, we offer more than just job opportunities; we provide a platform for you to make a significant impact on the industry and our clients' lives.

Work You’ll Do

At Charles Schwab, we are dedicated to helping our clients manage their financial futures. Being part of our team means you'll work alongside some of the most skilled professionals in the financial services industry. Our culture thrives on teamwork, integrity, and relentless dedication to our clients. Whether you're looking for a position in financial consulting, technology, or administrative support, Charles Schwab offers a dynamic work environment where your skills will be honed and your achievements recognized.

Innovate and Lead

Embrace the opportunity to lead through innovation. Charles Schwab’s commitment to technology and innovation is fundamental to our service delivery. By joining our team, you will be at the forefront of developing new solutions that redefine the future of finance. Your leadership can guide significant projects that impact our company and the industry.

Grow Your Career

Charles Schwab believes in fostering the growth of its employees. Whether through professional development programs, diversity training, or leadership workshops, we ensure that our team members receive the support and training they need to advance their careers. With a variety of career paths available, your job at Schwab can evolve with your interests and expertise.

Internship and Employment Opportunities

Start your professional journey with Charles Schwab through our internship programs or full-time employment opportunities. We seek individuals who are passionate, curious, and ready to drive change. A career at Schwab is not just about having a job; it's about building a lasting relationship with a company that values your potential.

Benefits and Culture

Charles Schwab is renowned for its employee-friendly culture. We offer a comprehensive benefits package that supports the health, financial stability, and work-life balance of our team members. From competitive salaries and bonuses to health insurance and retirement plans, Schwab ensures that your career is as rewarding as it is enriching.

Networking and Professional Development

Expand your professional network and enhance your skills through our various networking events, mentorship programs, and training sessions. At Charles Schwab, we believe in leveraging collective expertise to foster learning and innovation. Engage with leaders, gain insights from experienced professionals, and build relationships that will aid your career trajectory.

Join Our Team

Explore the numerous career paths available at Charles Schwab and discover how your talents can be utilized to their fullest potential. Search open positions that match your skills and interests. We are continuously hiring across various disciplines and look forward to adding innovative, driven individuals to our team.

Stay Connected

Keep up to date with the latest from Charles Schwab Careers by subscribing to our job alert emails. Tailor your subscription to receive updates that align with your career preferences and be the first to know about new openings, company news, and professional tips.

Explore Charles Schwab Jobs

Ready to take the next step in your career? Visit our careers page to review current job openings, submit your resume, and prepare for your interview. At Charles Schwab, your future is waiting. [SEARCH CHARLES SCHWAB JOBS] Join Charles Schwab today and be part of a team that values diversity, innovation, and leadership—where your career can thrive in the exciting world of finance.
Learn more about Charles Schwab
Size
34,200 employees
Market Cap
$151.6 billion
Industry
Finance & Insurance
Net Income
$3.2 billion
Founded
1973
5 Year Trend
+20%
Revenue
$12.1 billion
NASDAQ
SCHW
* Ladders Estimates

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