Machine Learning/AI – Establish AI capabilities for datadriven decision making manual process automations enhanced quality metrics and business transformation
Develop custom data models machine learning and advanced algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences revenue generation ad targeting and other business outcomes.
Mine and analyze data from company databases to drive optimization and improvement of product development product manufacturing product safety techniques and business strategies.
The majority of time will be spent in this area
Interfaces and Integrations – modernize interfaces to AWS data lake as part transformation projects e.g. Quality Management System Product Complaint Intake Pharmacovigilance Manufacturing Execution System...
Tableau Dashboards – supporting daily dashboards and ongoing enhancement support within IT Quality
Utilize current processes and tools (Tableau and Quick Sight) to monitor and analyze model performance and data accuracy. Document and address issues identified through established change management processes.
Actively participate in and/or lead continuous improvement activities defining and implementing the changes required to extend electronic data management and analytics capabilities.
Data Pipeline – Over time this role will be also responsible to collect large volumes of onpremises data from our global medical device manufacturing plants and move to data warehouse for advanced data analytics to transform our manufacturing sites to a smart factory.
Involved from inception of projects understand requirements architect develop deploy and maintain data pipelines
Support and troubleshoot the data pipeline and environment
Project Collaboration work with business and IT stakeholders to identify and implement opportunities for leveraging company data to drive business transformation.
Participate in design reviews and provide input to design recommendations; incorporate security requirements into design; and provide input to information/data flow and understand and comply with Agile Project Life Cycle Methodology in all planning/execution steps.
Document detailed application specifications (User Requirement Specifications Functional Specifications and System Design Specifications) translate technical requirements into programmed application modules and develop/enhance software application modules.
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