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

T. Rowe Price6 months ago
Baltimore, Maryland, United States
Hybrid
Full-time
Junior Level (1-3 years)
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Job Description

Key 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.

Required Qualifications

  • 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 Qualifications

  • 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.

Benefits & Perks

  • 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

Required Skills

CI/CD
Python
Mentorship
Delta Lake
Unity Catalog
MLflow
Cloud Architecture (AWS)
Databricks
Financial Markets Understanding
Data Pipeline Development
Feature Engineering
Automated Testing
Data Modeling
PySpark
Code Reviews