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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** TD Ameritrade - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $120,000.0 - $180,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, BigQuery, Cluster Analysis, Data Mining, Generalized Linear Model, Monitoring of Systems, Statistical Hypothesis Testing, Python (Programming Language), Machine Learning, Software Engineering, Google Cloud, Feature Engineering, Large Language Models, Random Forest, Information Technology, Xgboost, Machine Learning Operations, Dataiku, K Means - **Published:** August 29, 2026 - **Apply:** https://www.schwabjobs.com/financial-consultant-academy-opportunity-branch-network ## About the Role Machine Learning: Knowledge of and experience with designing and implementing algorithms (Gradient Boosting Trees, GLM/Regression, Random Forest, Neural Networks, K-Means clustering etc.), and the ability to articulate their real-world advantages and drawbacks. LLMs: Experience with modern large language models from usage for embeddings and classification to agentic frameworks. Familiarity on evals and measurement frameworks. Statistical Methodology: Knowledge of advanced techniques and concepts (regression, properties of distributions, time series analysis and modeling, statistical tests and proper usage, etc). 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., * MS/PHD in a quantitative field (eg. Statistics, Mathematics, Computer Science, Engineering, Physics, Operations Research, etc). * Demonstrated professional experience in delivering production AI and Data Science products * Strong foundational knowledge of: * Statistics and probability * Machine learning fundamentals (regression, classification, clustering) Proficiency in Python and software engineering methodologies Strong verbal and written communication skills Self-starter with strong organizational skills, attention to detail, and desire to continually reevaluate existing products and processes. Preferred Qualifications * Experience with Dataiku and Google Cloud ie: Vertex AI, Big Query * Expertise in MLops and model monitoring * Familiarity working in regulated environments ## Description Schwab's AI & Data Science organization is a centralized hub for delivering innovative production ready AI and machine learning solutions that drive measurable business outcomes across the firm. The team partners with Schwab business units to identify high impact use cases, pilot innovative AI solutions, and transition successful models into enterprise level production systems. Our mission is to accelerate the adoption of AI as a strategic product capability-ensuring models are scalable, reusable, governable, and continuously delivering value. As a 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 The Data Scientist will work collaboratively with a team of data scientists, ML engineers, and product owners throughout a project lifecycle, including data extraction and preparation, feature engineering, model design and development 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 Schwab from enterprise services such as Marketing to client and product groups like Investor and Advisor Services. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [TikTok's Privacy Innovation](https://www.wearedevelopers.com/videos/1036-tiktok-s-privacy-innovation) - [Logs in observability - Correlation](https://www.wearedevelopers.com/videos/1430-logs-in-observability-correlation) - [Explainable machine learning explained](https://www.wearedevelopers.com/videos/589-explainable-machine-learning-explained) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [From Collecting Bottle Caps 🥤to Building Vision 👀](https://www.wearedevelopers.com/videos/2028-from-collecting-bottle-caps-to-building-vision) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)