Senior AI Data Scientist (T. Rowe Labs - NYC or Baltimore, MD)

Position Overview

At T. Rowe Price – a premier global asset management organization with over 85 years of experience – we invest in opportunities that help people thrive in an evolving world. In this hands‐on, end‐to‐end leadership role, you will build the analytics and AI that power better investment decisions. Based in our New York City office or our new Baltimore, MD location, you’ll lead modern AI/Data Science initiatives on Databricks, mentor teams, and drive collaborative innovation.

Key Responsibilities

• Contribute to the full data and 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) and apply CI/CD with reproducible experiments.
• Employ automated testing for code, data, and models (unit tests, data validation, drift/bias checks) to ensure repeatable pipelines.
• Identify and address data/model technical debt; improve schemas, data contracts, and performance/cost.
• Deliver well-defined work items by clarifying requirements through thoughtful questions and proposals.
• Mentor data scientists and engineers by leading code/design reviews and fostering a collaborative culture.
• Own the quality, maintainability, security, governance, and total cost of ownership of delivered solutions.
• Help shape the data/ML platform strategy and drive execution within your domain.
• Balance strategic and pragmatic concerns while proactively surfacing risks and resolving issues.

Required Qualifications

• BS/MS in a quantitative field (CS, Statistics, Applied Math, Engineering, Economics) or equivalent, with 5+ years in data science/ML.
• Experience with automated pipelines, testing for data/models, and model lifecycle management (registry, versioning, monitoring).
• Solid understanding of cloud-native architectures (AWS).
• Excellent communication and collaboration skills with the ability to ask incisive questions and align diverse stakeholders.

Preferred Qualifications

• Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation).
• Strong Python and Spark expertise; hands-on experience with Databricks (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).
• Experience in timeseries or NLP projects and with BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt).
• A solid understanding of financial markets and instruments.
• Commitment to quality through unit/integration tests, data validation, documentation, and code review.

Benefits & Perks

• Competitive Compensation – Base salary ranges vary by location: Maryland/Colorado/Washington/Remote ($118,000.00 - $202,000.00), Washington, D.C. ($130,000.00 - $222,000.00), New York/California ($148,000.00 - $253,000.00); employees may also be eligible for a discretionary bonus based on performance.
• Annual bonus eligibility.
• A generous retirement plan.
• Hybrid work schedule with up to three days per week from home.
• 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.