Data Science Team Lead at OREDATA, leading teams to resolve data science challenges in a hybrid environment. Joining a digital transformation firm with a strong collaborative culture.
About the role
- Hands-on Senior AI Data Scientist at T. Rowe Price leading data and AI practices. Collaborating across teams to drive innovation in investment management.
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.
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).
- Time‑series/NLP experience; BI/analytics tooling (Databricks SQL, Tableau/Power BI, dbt).
- Commitment to quality via unit/integration tests, data validation, documentation, and code review.
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
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
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