Data Scientist

Job Description

Your Opportunity

Are you all about leveraging data to provide customers better products and grow business? Then we want you!

This is a great opportunity to apply your craft as a data scientist while working with business partners to drive data-driven solutions. Our large client base and multi-channel transaction volume offers a fertile data environment to uncover new insights and answers to key business questions. Our dynamic business generates many questions that provide lots of opportunity to get deep in data and have real impact.

We are looking for qualified candidates to design, develop, implement and monitor scalable machine learning solutions for dynamic financial products, deliver insights from complex data structures with clear narratives and creative visualizations. People who can work collaboratively and partner closely with a cross functional team to develop, deploy, verify product quality, and maintain the predictive model lifecycle to help provide business value for the organization.

Data, Analytics and Insight (DAI) is a smart, fun team of 300+ that provide quantitative decision support to multiple business units across Schwab. We help our business partners better understand the needs and behaviors of our prospects and clients through analytics, data science, market research, and business intelligence.

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.

• Most Schwabbies have the opportunity to voluntarily work in the office or at home based on their preference, through the remainder of 2021.*
• When the firm is ready to fully return to the office, employees will have the flexibility of a hybrid work environment, spending some time working remote and some time 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 in order to best care for the safety and well-being of our employees.

What you are good at

You will work collaboratively with a team of statistical analysts, business analysts and data engineers, throughout the predictive model lifecycle. Data extraction, feature engineering, model design, development, deployment, monitoring and everything in between – this is a role that will requires hands on expertise to create value adding solutions that solve real business problems.

This role supports multiple business units across the Schwab enterprise.

• 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
• Develop automated and algorithmic approaches to analyzing data and powering data products and predictions
• Leverage tools and platforms like Anaconda Enterprise, Python, R and SAS to apply algorithms and analytic models to big data problems

Statistical Methodology: Knowledge of advanced techniques and concepts (Bayesian, properties of distributions, statistical tests and proper usage, etc).

Data Mining & Machine Learning: Knowledge and experience in advanced data mining & modeling techniques (Ensemble Learning, Clustering, Gradient Boosters, Random Forest, Neural Networks, NLP, AI, Social Network Analysis, etc.), and the ability to articulate their suitability for a given challenge

Business acumen: Understanding the bigger picture for customers and the business and the know how to probe beyond stakeholders’ stated requests to understand what is truly needed to capture and drive business value.

What you have

• B.S. degree in Statistics, Mathematics, Computer Science, Economics, Mathematics, Operations Research, Engineering or similar quantitative field; Graduate degree in a quantitative field highly preferred.
• 3-5 years’ of experience in a data engineering, analytics or data science role
• Strong Python and SQL skills, R, SAS experience or exposure helpful

Colorado Compensation ​

Target Total Compensation - $101,400 - $165,400

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Your actual pay will be based on your skills and experience -- talk with your recruiter to learn more.

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 central 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 that is 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 [email protected] 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.