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.

The Data Scientist will work collaboratively with a team of data scientists, analytics leads, engineers, and product owners throughout a project lifecycle. This work includes data extraction and preparation, feature engineering, model design and development, and everything in between to create value adding solutions that solve real business problems. In this role you will:

Get hands-on with big data as you hack through complex and messy data and analyze it leveraging the latest algorithms and state-of-the-art techniques and tools Use open-source tools and platforms like Anaconda Enterprise, Python, R and SAS to apply algorithms and analytic models to big data problems Develop automated and algorithmic approaches to analyzing data and powering data products and predictions Work closely with stakeholders to understand their needs, articulate how data science can help achieve objectives, and deliver regular updates Collaborate with Data Science Engineers to operationalize models

What you have

This full-time role will also take part in the nine-month NERD (New Employee Recruitment and Development) program that blends on-the-job experience with an extensive training curriculum that covers tools, technologies, processes, and soft skills required to be successful at Charles Schwab. By pairing the curriculum, on-the-job experience, and a web-of-support from others, NERDs are well prepared to succeed in their role which sets the table for future opportunities at Schwab. The program includes:

· Mentorship

· Continuous Training and Development

· Certification Opportunities

· Hands-on Technology Experience

· Knowledge Sharing and Presentation Opportunities

· Exposure to Leadership

· Community of Dedicated and Welcoming Peers

What you have

· Undergraduate or graduate degree in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, Physics, Operations Research, etc.) with a graduation date of June 2025 or earlier

· Ability to start full-time with the program on June 9, 2025

· Statistical Methodology: Knowledge of advanced techniques and concepts such as regression, properties of distributions, time series analysis and modeling, statistical tests and proper usage, etc.

· Machine Learning: Knowledge of, and experience with, designing and implementing algorithms, and the ability to articulate their real-world advantages and drawbacks

· Data Mining and Machine Learning: Knowledge and experience in advanced data mining and modeling techniques, and the ability to articulate their suitability for a given challenge

· Big-picture thinking to probe beyond stakeholders’ requests to understand what is truly needed to capture and drive business value

· Software engineering and code versioning skills

· Data visualization skills

· Passion and interest in solving problems, applying innovation, and experimentation

#campus

Workplace Flexibility Program

We're proud to support our employees in a working approach that allows you to bring your best self to work – whether that’s in the office or remote.

Employees will have the flexibility of a hybrid work environment, spending some time working remotely and sometimes in the office.Employees and managers can discuss and decide what works best for them, with additional flexibility available based on their role, business needs, and individual circumstances.

*Subject to change as Schwab is continually evaluating the current environment to best care for the safety and well-being of our employees.

Why work for us?

Own Your Tomorrow embodies everything we do! We are committed to helping our employees ignite their potential and achieve their dreams. Our employees get to play a vital role in reinventing a multi- trillion-dollar industry, creating a better, more modern way to build and manage wealth.

Benefits: A competitive and flexible package designed to empower you for today and tomorrow. We offer a competitive and flexible package designed to help you make the most of your life at work and at home—today and in the future. Explore further.

Schwab is committed to building a diverse and inclusive workplace where everyone feels valued. As an Equal Opportunity Employer, our policy is to provide equal employment opportunities to all employees and applicants without regard to any status protected by law. Please click here to see the policy. Schwab is an affirmative action employer, focused on advancing women, racial and ethnic minorities, veterans, and individuals with disabilities in the workplace. If you have a disability and require reasonable accommodations in the application process, contact Human Resources at applicantaccessibility@schwab.com or call 800-275-1281.

TD Ameritrade, a subsidiary of Charles Schwab, is an Equal Opportunity Employer. At TD Ameritrade we believe People Matter. We value diversity and believe that it goes beyond all protected classes, thoughts, ideas, and perspectives.

What’s in it for you

At Schwab, we’re committed to empowering our employees’ personal and professional success. Our purpose-driven, supportive culture, and focus on your development means you’ll get the tools you need to make a positive difference in the finance industry. 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 planPaid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positionsPaid parental leave and family building benefitsTuition reimbursementHealth, dental, and vision insurance Apply Save job