Social network you want to login/join with:Abbott is a global healthcare leader, creating breakthrough science to improve people’s health. We’re always looking towards the future, anticipating changes in medical science and technology.Major Responsibilities:Analyze manufacturing data, draw insights, and present results in a cohesive, intuitive, and simplistic mannerUtilize technologies to collect, clean, analyze, predict, and effectively communicate informationPrepare both structured and unstructured data for analysisAble to examine data sets and determine the best end-to-end analysis plan to address key business questions and create valueConduct advanced statistical analysis to determine trends and significant data relationshipsDevelop machine learning models to apply test data algorithms to future dataValidate models/analytical techniques, and develop algorithms to execute analytical functionsWorks with stakeholders to define business questions, requirements, timelines, objectives, and success criteria to address need.Proactively identifies opportunities for significant operational, process or system level product improvements.Communicate model logic and restrictionsWork closely with the business to understand the domain and iteratively refine analysesTransform analytical results into actionable recommendations for business partners using deep industry knowledgeTranslates manufacturing data into actionable insight that can be used to increase manufacturing capacity, efficiency and achieve quality objectivesProvides input into developing departmental and site processes and procedures.Guide and otherwise contribute to technical teams in development, deployment and application of applied analytics, predictive analytics, prescriptive analytics, etc.Requirements:Bachelor's Degree in Computer Science, Data Analytics or similar disciplineMinimum 6 years of related work experience in Data Analytics, prior experience in manufacturing advantageousAdvanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and RExperience in applying data analysis techniques to large data setsAdvanced analytics knowledge and application in the field of Statistics, Mathematical programmingBusiness acumen and experience with operational or strategic systems
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