Description

  • 4-7 years of experience in data science, building hands-on ML models
  • Hands-on experience with SQL, R, Python, Spark, and building machine learning models.
  • Proven ability as a full stack data scientist who develops, optimizes, and scales models for the production environment.
  1. Derive metrics for model performance monitoring and conduct continuous model performance monitoring (after deployment)
  • Proven industry experience of designing, leading, and managing large-scale data science projects and collaborating with data engineers and Product Managers.
  1. Work with data engineers to test and validate training and production data pipelines, among other tasks.
  • Strong understanding of the fundamental concepts of popular statistical and ML models
  • Experience in managing multiple priorities and leading a team.
  • Strong communication skills with excellent ability to synthesize complex information.
  • Ability to solve complex business problem through a blend of logical and creative thinking.
  • A learning and growth mindset.
  • Experience with BI tools such as Power BI, Tableau is preferred but not required.
  • Experience with cloud platforms such as Azure, AWS is preferred but not required

Key Skills
Education

Any Gradute

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