At T. Rowe Price, our Data Scientists develop the analytics and AI solutions that drive better investment decisions. We’re seeking an AI Data Scientist to join our Union Square, NYC office, partnering with business and technology teams to transform complex questions into reliable, explainable outcomes.
Requirements
- Solid understanding of experimental design, model validation, metrics, and foundational MLOps concepts.
- Familiarity with AWS basics and git/CI workflows.
- Experience with AI/Generative AI (LLMs, RAG, prompt engineering/evaluation).
- Advanced Python skills for data science (pandas, scikit-learn); experience with PySpark.
- Hands-on experience with Databricks (Delta Lake, MLflow, Jobs/Workflows) or equivalent Spark platforms, with a desire to expand expertise.
- Knowledge of time-series analysis or NLP; experience with BI/analytics tools (Databricks SQL, Tableau/Power BI, dbt).
- Familiarity with financial markets and instruments.
Responsibilities
- Engage in all phases of the data science lifecycle: problem framing, exploratory data analysis, feature engineering, modeling, evaluation, deployment, and monitoring, with guidance from senior team members.
- Develop robust Python notebooks, jobs, and pipelines (using pandas, scikit-learn, PySpark) on Databricks (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).
- Implement testing and quality checks, including unit tests, data validation, and drift/bias monitoring; maintain reproducible experiments and clear documentation.
- Participate in code and design reviews, use git and CI/CD, and manage technical debt.
- Clarify requirements, propose iterative solutions, and communicate findings to both technical and non-technical stakeholders.
- Collaborate with platform and governance teams to ensure security, lineage, and auditability.
Other
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States (e.g., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant work status).
- This role is eligible for hybrid work, with up to three days per week from home.
- Strong collaboration and communication skills, with a question-first approach; comfortable partnering directly with business stakeholders.
