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Position: Sr. Machine Learning Scientist
Institution: Cambia Health Solutions, Inc.
Location: United States
Duties: Researches, designs, develops, and implements data-driven models and algorithms using machine learning, deep learning, statistical, and other mathematical modeling techniques; Trains and tests models, and develops algorithms to solve business problems; Adheres to standard best-practices and establishes principled experimental frameworks for developing data-driven models; Develops models and performs experiments and analyses that are replicable by others; Uses open-source packages when appropriate to facilitate model development; Identifies, measures, analyzes, and visualizes drivers to explain model performance (e.g., feature importance, interpretability, bias and error analysis), both offline (in the development phase) and online (in production)
Requirements: Degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and 0-3 years of related work experience, or equivalent combination of education and experience
   
Text: Sr. Machine Learning Scientist Researches, designs, develops, and implements data-driven models and algorithms using machine learning, deep learning, statistical, and other mathematical modeling techniques; Trains and tests models, and develops algorithms to solve business problems; Adheres to standard best-practices and establishes principled experimental frameworks for developing data-driven models; Develops models and performs experiments and analyses that are replicable by others; Uses open-source packages when appropriate to facilitate model development; Identifies, measures, analyzes, and visualizes drivers to explain model performance (e.g., feature importance, interpretability, bias and error analysis), both offline (in the development phase) and online (in production) Degree (masters or PhD preferred) in a strongly quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, Operations Research, Bioinformatics, or Econometrics, and 0-3 years of related work experience, or equivalent combination of education and experience
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