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Senior/ Lead Data Scientist

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Job Description
  • lead advanced analytics, machine learning, and generative AI initiatives across the full lifecycle—from data exploration to production deployment.
  • apply modern MLOps practices (automated pipelines, CI/CD for ML, scalable model serving, monitoring) and integrates models into production via APIs and microservices.
  • Manage and develop a team of data scientists, guiding their work, and setting technical quality standards.
  • Collaborate with engineering and product teams is essential, alongside translating analytical outcomes into clear, actionable recommendations that influence strategic decisions.


Requirements

  • 3-7 Years of experience.
  • strong experience with lakehouse architectures (e.g., Delta Lake, Iceberg, Spark) and participation in Data Mesh/Data Grid environments to deliver robust, domain-oriented data products, in addition to driving GenAI experimentation and fine-tuning.


See also

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