Data Scientist at Rumo developing advanced analytical solutions to support operational decisions. Collaborating closely with data engineering teams to enhance business performance.
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
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist developing analytical solutions for ABG Consultoria Estatistica. Collaborating with departments to transform data into actionable insights.
Data Scientist designing and delivering analytical models for casualty catastrophe risks in Boston or Jersey City.
JJ
Knowledge Graph Engineer at Johnson & Johnson focusing on biomedical data standardization and interoperability solutions. Contributing to healthcare innovation through data - driven technologies and collaborations.
Data Scientist specializing in computer vision and multi - object tracking at STATSports. Leading development of tracking systems and collaborating with sports scientists and engineers.
Data Scientist developing and improving pricing and statistical models for Alandia's growing insurance business. Collaborating across teams with a clear ownership of analysis from idea to solution.
Manager leading data science and machine learning initiatives for healthcare payer clients. Focused on operational efficiency, mentoring teams, and actionable insights to reduce costs and improve health outcomes.
Senior Data Scientist at Michelin coding and deploying production - ready AI solutions. Developing reusable AI components with a focus on LLM frameworks and Azure Cloud.
Lead Data Scientist using advanced statistical techniques at Travelers to drive analytics and develop solutions. Collaborating with teams to enhance business intelligence through data insights.
Director, Head of Data leading vision and management of data strategy and environment at AAA Life. Collaborating across teams to build a high - performing data organization.