Design, develop and implement data validation pipelines and model evaluation workflows in an AWS environment.
Integrate data, metrics and results into automated, auditable and scalable workflows.
Modularize pipelines with a focus on reuse, maintainability, testing and continuous evolution.
Collaborate with Data Science, Data Engineering and Product teams.
Ensure best practices for version control, code quality, logging, monitoring and automated testing.
Identify opportunities to improve data architecture and validation processes.
Develop solutions focused on performance, reliability and data governance.

Bachelor's degree in Engineering, Statistics, Mathematics, Computer Science or related fields.
Solid experience in Data Science.
Experience with data manipulation and statistical modeling.
Proficiency in Python, SQL and PySpark.
Experience with Git and version control.
Excellent analytical skills and the ability to solve complex problems.
Strong communication skills and experience working in multidisciplinary teams.

Senior Data Scientist

Key skills