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Looking for a Data Scientist to be responsible for developing and delivering AWS Cloud solutions to meet high demand areas of data management, Machine Learning, AI, IoT, advanced analytics, enterprise collaboration, Microservices and serverless computing. Define solutions and provide guidance on complex problems in pharma sciences. Design and build extensive ML models to server pharma science R&D domains. Lead teams of MRL Research Scientists and Citizen Data Scientists to complete model building, training, tuning, collaboration/sharing, verification and deployment on AWS. Data Engineer professional implementing state-of-the-art, scalable, high performance data on Cloud solutions which meet the needs of corporate and emerging digital applications. Provide subject matter expertise and hands-on delivery of data capture, curation, enhancement, integration and consumption pipelines on AWS. Build Cloud data solutions and provide domain perspective on storage, Big Data platform services, serverless architectures, RDBMS, Data Warehouse/datamart and NoSQL database. Develop metadata management and semantic mapping strategy and practice. Develop graph technology solutions for property graph and knowledge graph, and implement solutions using AWS graph technology service. Build full technology stack of services required including PaaS, SaaS, IaaS, operations, management and automation. Will work with customers and leading internal engineering teams in delivering digital and Big Data solutions on AWS Cloud. Data Science Group in a Pharmaceutical Sciences area. Pharmaceutical experience not manditory, but consider it a plus. Machine Learning, AI, Data Modelling. Productionalizing on an AWS platform. Possibly utilizing Data Bricks. Data Modelling / Data Engineering. Work on Ad Hoc projects. Develop and apply advanced statistics sets. Build and deploy models on the AWS Cloud.
