Added
3 hours ago
Type
Full time
Salary
Salary not provided

Related skills

docker aws sql python airflow

๐Ÿ“‹ 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.

๐ŸŽฏ 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.

๐ŸŽ 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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