Principal Data Scientist

Position Overview

We are seeking a Principal Data Scientist to help design, build, and deploy advanced analytics and machine learning solutions that power TradeStation's trading platform, client experience, and business operations.

Responsibilities

• Own the end-to-end ML lifecycle — from problem framing and feature engineering through model training, validation, deployment, and ongoing performance monitoring
• Help build and deploy predictive models across a range of use cases including customer behavior, fraud and anomaly detection, trade surveillance, risk modeling, and personalization
• Design and implement real-time and batch ML pipelines that operate reliably at scale in production environments
• Develop behavioral anomaly detection and pattern recognition systems using statistical and deep learning approaches
• Apply NLP and LLM techniques to extract insights from unstructured data — trade notes, client communications, market commentary, and internal documentation
• Translate complex data into clear, compelling visualizations and narratives for both technical and executive audiences
• Conduct exploratory data analysis to surface trends, anomalies, and opportunities across trading behavior, customer segments, and platform performance
• Define, track, and interpret key business and model performance metrics; proactively surface meaningful insights without waiting to be asked
• Stay at the forefront of AI and ML research — continuously evaluate and adopt emerging techniques (GenAI, RAG, agents, multimodal models) where they create real business value
• Leverage AI tools (Claude, LLMs, foundation models) to accelerate your own development workflow, from code generation to documentation to data profiling
• Experiment rapidly with new approaches; fail fast, iterate, and bring winning solutions to production
• Contribute to TradeStation's AI governance standards by ensuring models are interpretable, fair, and deployed responsibly
• Partner with Product and Engineering to define the data and modeling requirements for new platform features
• Work with Compliance and Risk teams to build surveillance and monitoring systems that meet regulatory requirements
• Communicate results and recommendations clearly to non-technical stakeholders; translate business questions into rigorous analytical frameworks

Skills

• Self-Starter & Independent Learner
• Full-Stack Data Science
• Machine Learning Depth
• Software Engineering Fundamentals
• Data Platform Proficiency
• Visualization & Storytelling
• AI-Native Workflow
• Statistical Rigor
• Cross-Functional Collaboration
• Financial Services Domain

Minimum Qualifications

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
• 7+ years of experience in data science or applied machine learning roles, with demonstrated ownership of models deployed to production

Desired Qualifications

• Master's or PhD in a quantitative discipline

What We Offer

• Competitive Salaries
• Yearly bonus
• Comprehensive benefits for you and your family starting Day 1
• Unlimited Paid Time Off
• Flexible working environment
• TradeStation Account employee benefits, as well as full access to trading education materials