T. Rowe Price

Senior Data Scientist

T. Rowe Price

full-time

Posted on:

Location Type: Hybrid

Location: New York CityMarylandNew YorkUnited States

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Salary

💰 $121,000 - $258,000 per year

Job Level

About the role

  • 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

Requirements

  • 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
  • Experience with AI/GenAI (LLMs, RAG, prompt design/evaluation) (Preferred)
  • Strong Python and Spark expertise; hands‑on Databricks experience (Delta Lake, Unity Catalog, MLflow, Jobs/Workflows) (Preferred)
  • Time‑series/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt) (Preferred)
  • A solid understanding of financial markets and instruments (Preferred)
  • Commitment to quality via unit/integration tests, data validation, documentation, and code review
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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonpandasPySparkautomated testingfeature engineeringmodelingdata validationtime-seriesNLPCI/CD
Soft Skills
communicationcollaborationmentoringproblem framingclarifying requirementsfostering collaborationrisk managementquestioningleadershipstrategic thinking