PENGUIN RANDOM HOUSE

Requirements

• excellent understanding of machine learning techniques and algorithms, coupled with a thorough understanding of their mathematical foundations
• experience using Git to collaborate with colleagues on a codebase
• experience using Python for data analysis and statistical modelling, and a familiarity with key open-source libraries like Pandas and NumPy
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• proven experience implementing machine learning models in production
• strong grasp of experimental design and analysis
• strong familiarity with tools and techniques used in Natural Language Processing and time-series analysis
• solid grounding in SQL, able to write well-formed queries and transformations
• deep learning model development with either PyTorch or Tensorflow
• familiarity with command-line environments and basic aspects of Unix-like operating systems
• familiarity with containerised workflows using Docker and Kubernetes
• continuous learning and development mindset

Earnings for position data scientist