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Senior Machine Learning Scientist

Posted 2024-11-16

View full description

💎 Seniority level: Senior, 5+ years of full-time work experience

🔍 Industry: Insurance and digital risk management

🗣️ Languages: English

⏳ Experience: 5+ years of full-time work experience

Requirements:
  • Ph.D. or MS degree in a quantitative or computational field.
  • 5+ years of full-time work experience leading the development and deployment of machine learning solutions.
  • Practical experience in supervised and unsupervised machine learning methods.
  • Expertise in statistical analysis methods, particularly regression analysis and forecasting.
  • Proficiency in SQL and programming in Python.
  • Ability to work in ambiguous problem spaces with minimal oversight.
  • Exceptional written and oral communication skills.
Responsibilities:
  • Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring.
  • Design and implement ML pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation.
  • Survey and incorporate recent advances in AI/ML research into core capabilities.
  • Communicate work and experience in applied machine learning through collaborations and mentorship.
  • Enhance the culture of data excellence by promoting best practices and processes.
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