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docker aws sql python airflow๐ Description
- Develop data pipelines, ML models, and optimization models for the ODS product.
- Be part of a product squad reporting to the Lead Product Data Scientist.
- Ensure features integrate with data ingestion, UI, and orchestration.
- Full-stack data scientist across the data-science product value chain.
- Collaborate with stakeholders to maximize impact and value realization.
- Build robust, tested features with software best practices.
๐ฏ Requirements
- Strong ML and optimization knowledge: supervised, unsupervised, OR.
- Proficient in Python and DS/OR packages (scikit-learn, pandas, numpy).
- Cloud platforms (AWS) and Git; MLflow for experiments.
- SageMaker, DVC, CI/CD, Airflow/Dagster, Docker/ECS.
- Unit/integration tests; strong SQL/Python data engineering.
- MS Office including Excel and PowerPoint.
๐ Benefits
- Opportunity to join a fast-growing company
- Learning and development opportunities
- Flexible working environment
- Collaborative team culture
- Equal opportunity employer
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