At T. Rowe Price, we identify and actively invest in opportunities to help people thrive in an evolving world. As a premier global asset management organization, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors.
Requirements
- Contribute to the full data & model lifecycle: problem framing, EDA, feature engineering, modeling, evaluation, deployment, and monitoring.
- Develop production solutions in Python (pandas, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Workflows/Jobs); apply CI/CD and reproducible experiments.
- Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks); ensure repeatable pipelines.
- Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost.
- Deliver wellâdefined work items; clarify requirements through thoughtful questions and proposals.
- Mentor data scientists and engineers; lead code/design reviews and foster a collaborative culture.
- Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions.
- Help shape elements of the data/ML platform strategy and drive execution within your domain.
- Balance strategic and pragmatic concerns; proactively surface risks and resolve issues.
Benefits
- Competitive compensation
- Annual bonus eligibility
- A generous retirement plan
- Hybrid work schedule
- Health and wellness benefits, including online therapy
- Paid time off for vacation, illness, medical appointments, and volunteering days
- Family care resources, including fertility and adoption benefits