Senior Data Scientist

T. Rowe Price

United States

United States

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About

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. * 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.* 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).* 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.Placement within the range provided above is based on the individual’s relevant experience and skills for the role.
Base salary is only one component of our total compensation package.
Employees may be eligible for a discretionary bonus, which is determined upon company and individual performance.We value your goals and needs, at work and in life. As an associate, you’ll be supported with resources, benefits, and work-life balance so you can thrive in ways that matter to you.
Featured employee benefits to enrich your life:
Competitive compensation
Health and wellness benefits, including online therapy
Family care resources, including fertility and adoption benefits #J-18808-Ljbffr

United States

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English

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