Cientista de Dados Senior
New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details
- Required Skills
- PythonSQLAgileAWS LambdaPySpark
Requirements
- Bachelor’s degree in Engineering, Statistics, Mathematics, Systems Analysis, or a related quantitative field
- Strong experience in data manipulation and statistical modeling using Python, SQL, and PySpark
- Solid background in Data Science with experience solving complex analytical and data-related problems
- Strong analytical thinking and structured problem-solving skills
- Good communication skills and ability to work effectively in cross-functional and collaborative environments
- Experience with cloud platforms, especially AWS (Glue, S3, SageMaker, Lambda, among others)
- Familiarity with Agile methodologies
- Experience applying LLMs in data science projects
- Exposure to optimization problems and algorithmic approaches
Responsibilities
- Design, build, and maintain data validation and model evaluation pipelines in cloud environments, primarily using AWS services
- Develop automated and scalable workflows for integrating evaluation metrics and ensuring traceability and auditability of data processes
- Modularize data science pipelines to enable reuse, maintainability, and efficient testing across different use cases
- Collaborate closely with Data Science, Data Engineering, and Product teams to deliver end-to-end data-driven solutions
- Implement and enforce best practices in versioning, logging, monitoring, and automated testing for data and ML pipelines
- Contribute to the continuous improvement of data architecture, validation frameworks, and overall data quality processes
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