Responsible for driving the development and implementation of advanced analytics and control solutions that deliver value for today and build capability for tomorrow.
Develop and implement Advanced Analytics, AI, APC and IIoT solutions/capabilities in manufacturing settings to achieve actionable insights and enable continued improvement for pharmaceutical manufacturing and quality operations.
Contribute to the development of the multiple use cases across manufacturing operations, leveraging IIOT and analytics, in areas such as energy management, predictive maintenance, production scheduling and process optimization.
Development and implementation of analytic models and tools using advanced analytics, machine learning and artificial intelligence
Work with the IIoT developers to integrate predictive/prescriptive analytics with the IIoT platform to achieve visibility, predictability and learning across multiple automation layers from process to plant and to enterprise
Bachelor’s Degree or higher in Mathematics, Statistics, Physics, Engineering and/or Computer Science
Understand Advanced Analytics approaches in other businesses
Hands-on experience in data science, advanced analytics, multivariate data analysis, machine learning, artificial intelligence, and familiarity with related open source libraries (e.g. Tensor Flow, AWS ML)
Proficient in one or more of the following programming environments: Python (preferred), R, Matlab, PMML, JAVA, Spark
Familiarity with deep Learning, Neural Networks, Natural Language Processing or related fields
Experience with cloud-based analytics platforms
Experience with ThingWorx IIoT platform preferred
Familiarity with industrial process control system, operations management system and/or SAP is a plus
Pharmaceutical experience preferred but not necessary
Independent, self-motivated personality with excellent oral and written communication skills
Ability to work collaboratively in diverse cross-functional teams on innovative solutions and tools with an open attitude towards fast learning
Experience in delivering advanced analytics solutions in real world
Python for data science
A good understanding of manufacturing processes/operations