Senior Data Scientist

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 with more than 85 years of experience, we provide investment solutions and a broad range of equity, fixed income, and multi-asset capabilities to individuals, advisors, institutions, and retirement plan sponsors. We take an active, independent approach to investing, offering our dynamic perspective and meaningful partnership so our clients can feel more confident.

We believe doing the right thing for our clients and our associates is good business. With a career at the firm, you can expect opportunities to create real impact at work and in your community. You'll enjoy resources to support your career path, as well as compensation, benefits, and flexibility to enrich your life. Here, you'll find a collaborative culture that respects and values differences and colleagues who share a spirit of generosity.

Join us for the opportunity to grow and make a difference in ways that matter to you.

About the Team

Are you a curious problem solver who asks great questions and loves collaborating across disciplines? At T. Rowe Price, Data Scientists build the analytics and AI that power better investment decisions. Position is available in our New York City office or at our brand-new AI Data Science squad at our new Baltimore, MD Harbor Point location. Both locations offer the opportunity to collaborate with top talent, drive innovation, and make a real impact in asset management.

If you're a hands‑on leader who cares about people as much as technology, we'd love to talk.

Role Summary

This is a hands‑on, end‑to‑end lead role-from discovery to production. As a team leader, you will think creatively and scale modern AI/Data Science practices on Databricks, set team standards, and drive collaborative delivery. T. Rowe Labs is focused on building the firm's next‑generation data and AI platform, aiming to seamlessly deliver on‑demand ML‑powered insights across our firm.

Responsibilities

* 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 well‑defined 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.

Qualifications

Required:

* BS/MS in a quantitative field (CS, Statistics, Applied Math, Engineering, Economics) or equivalent; 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; adept at asking incisive questions and aligning diverse stakeholders.

Preferred:

* Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation).

* Strong Python and Spark expertise; hands‑on Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows).

* Time‑series/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt).

* A solid understanding of financial markets and instruments.

* Commitment to quality via unit/integration tests, data validation, documentation, and code review.

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