
Senior Data Scientist
T. Rowe Price
full-time
Posted on:
Location Type: Hybrid
Location: New York City • Maryland • New York • United 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