Charles Schwab

Staff Data Scientist

Charles Schwab • $120K — $150K *
Southlake, TX 76092In-Person
Information Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 8+ years of experience in data science and machine learning
  • Advanced degree (Master’s or PhD) in a quantitative field
  • 6+ years of hands-on experience using Python and SQL for production code
  • Proven ability to deliver end-to-end machine learning solutions
  • Experience in developing supervised and unsupervised machine learning solutions
  • Applied natural language processing techniques to unstructured data
  • Practical experience with LLM solutions deployed for internal use

Responsibilities

  • Analyze and interpret big data to create innovative AI solutions
  • Design and build end-to-end machine learning systems
  • Translate business strategy into actionable data science solutions
  • Establish engineering standards for data science best practices
  • Lead initiatives in advanced machine learning and emerging technologies

Benefits

  • Collaborative work environment with cross-functional teams
  • Opportunities to advance technical capabilities in emerging areas
  • Focus on best practices and rigorous engineering discipline
  • Support for mentorship and professional development
  • Participation in high-impact, enterprise-scale projects
Full Job Description
Your Opportunity

As a Staff Data Scientist, you will play an essential part in advancing Schwab’s capabilities by driving the design, development, and implementation of innovative AI and machine learning solutions that address complex, enterprise scale challenges. You’ll bridge advanced research and robust engineering, owning the end‑to‑end lifecycle of high‑impact models.  Successful candidates will work collaboratively across the organization with our business sponsors, development teams, and engineering partners.  We are seeking a subject matter expert in all things AI, primed to identify and translate advanced analytical techniques, applications, and strategies into practical production ready solutions.  

 

What You’ll Do    

  • Get hands-on with big data as you analyze, interpret, extract insights, and produce innovative AI solutions that enable advanced decisioning to leverage the latest algorithms, state-of-the-art techniques, and tools.  
  • 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, monitoring, and value measurement in production environments.  
  • Translate business strategy into technical execution by partnering with business stakeholders to convert high-level business objectives into clear, actionable data science and AI solutions 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  

  • 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 multiple lines of business.  
  • Proven experience developing supervised and unsupervised machine learning solutions, with delivery supported by documented evaluation metrics, performance tracking, and value measurement.  
  • Experience in applying natural language processing techniques to unstructured data with delivery to production.  
  • Practical experience designing LLM solutions (such as retrieval‑augmented generation, agent workflows, or fine‑tuning), deployed for internal use.   
  • Strong software engineering fundamentals, including version control, CI/CD, and MLOps practices for production deployments.  

Preferred Qualifications  

  • Strong background in statistics, forecasting, or causal inference.  
  • Hands-on experience architecting machine learning solutions within cloud ecosystems (GCP, AWS, Azure)  
  • Experience building, maintaining, and optimizing data pipelines that support machine learning workflows.  
  • Proven expertise in MLOps and production model monitoring.  
  • 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 record of performance.  

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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