Job Overview
Company
Waters Corporation
Category
Mathematical Science Occupations
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Job Description
Responsibilities
Explore various scientific, statistical and machine learning approaches, explore data features, generate metrics, and evaluate results associated with collection and analysis of chromatographic and mass spectrometric dataAssist subject matter experts (SMEs) in model evaluation and stakeholder presentationsUse object-oriented programming and functional programming best practices to maintain codebases in python and C#, and write unit testsContribute to the preparation of technical reports, patent applications, and transferable protocolsContribute to the construction and maintenance of the AWS data pipelineMaintain up-to-date knowledge of relevant scientific literature Qualifications
5 or more years of practical experience in mechanistic modeling and machine learningS.
or PhD in computer science, data science, or scientific field with a computational focusExperience in model development using Python for machine learning, statistical, and mechanistic modelsRobust object-oriented and/or functional programming skills in languages including C#, and Python.
C++ desirable.Comfortable with Git version control, and either BASH or command promptAble to communicate results using meaningful metrics and visualizations to managers and stakeholders and receive feedback.Proficiency with AWS Lambda, S3, EC2, or Redshift desirable
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