Data Scientist
Core
Lead end-to-end machine learning initiatives to build predictive models and systems that optimize customer experiences and drive business impact in a trading environment.
Role type
Senior IC machine learning engineer (trading/data)
Builds
Production ML models, scalable ML pipelines, feature stores, and model serving infrastructure
Domain
Financial services / Machine Learning
Deliverable
production ML models
Required skills
Python, SQL, machine learning frameworks (scikit-learn, XGBoost), cloud platforms (AWS, Databricks), statistics, experimentation design, MLOps, software engineering practices (CI/CD, containerization)
Preferred skills
High-frequency trading background
Technologies
AWS, Databricks, MLflow, scikit-learn, XGBoost
Responsibilities
Lead end-to-end ML projects from problem framing to production deployment; Build and maintain ML models for customer propensity, lifetime value, and segmentation; Design scalable ML pipelines and feature stores; Collaborate with engineering to integrate models into production systems; Drive A/B testing and statistical analysis; Champion MLOps best practices; Mentor peers on data science and ML engineering practices