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Senior Data Scientist - Honeycomb Insurance

  • חברה: Honeycomb Insurance
  • מיקום: Tel Aviv HQ
  • טכנולוגיות: MSc. or PhD in Computer Science, Physics, Electrical Engineering, Applied Math, or a related field., 5+ years of hands-on experience developing and deploying data science or machine learning solutions, with strong expertise in tabular data modeling (e.g., tree-based models, linear models, ensembling, time-dependent models)., Experience with production deployment of ML models, including monitoring, CI/CD, data validation, and system reliability., Ability to independently initiate, plan, and drive ML projects end-to-end., Strong coding skills and familiarity with modern ML tooling and best practices., Team player, positive, driven, independent, and a fast learner., Familiarity with tabular foundation models and LLMs - advantage

תיאור המשרה

MSc. or PhD in Computer Science, Physics, Electrical Engineering, Applied Math, or a related field. 5+ years of hands-on experience developing and deploying data science or machine learning solutions, with strong expertise in tabular data modeling (e.g., tree-based models, linear models, ensembling, time-dependent models). Experience with production deployment of ML models, including monitoring, CI/CD, data validation, and system reliability. Ability to independently initiate, plan, and drive ML projects end-to-end. Strong coding skills and familiarity with modern ML tooling and best practices. Team player, positive, driven, independent, and a fast learner. Familiarity with tabular foundation models and LLMs - advantage

תחומי אחריות

We are looking for a Senior Data Scientist to join our automatic decisions group, focusing on tabular data prediction team , which is responsible for building highly reliable systems that power automated decision-making across our product. In this role, you will design and implement robust models and data-driven systems that directly influence underwriting, risk assessment, and core business workflows. You will champion best practices, drive measurable performance gains, and help shape the architecture of high-scale, production-grade ML systems.

דרישות

MSc. or PhD in Computer Science, Physics, Electrical Engineering, Applied Math, or a related field. 5+ years of hands-on experience developing and deploying data science or machine learning solutions, with strong expertise in tabular data modeling (e.g., tree-based models, linear models, ensembling, time-dependent models). Experience with production deployment of ML models, including monitoring, CI/CD, data validation, and system reliability. Ability to independently initiate, plan, and drive ML projects end-to-end. Strong coding skills and familiarity with modern ML tooling and best practices. Team player, positive, driven, independent, and a fast learner. Familiarity with tabular foundation models and LLMs - advantage