Experience working with AWS Cloud or similar environments and tools for Data Science, AI and ML Ability to deploy ML models to production environment. Ability to take ambiguous sets of data and decipher meaning to tell a story or business case that drives business decisions is required. Should be strong in AWS suite. Strong predictive, statistical modeling skills. Strong ability to communicate both written and verbally to internal and external clients. Ability to work independently with business users and cross functional leaders. Ability to solve for higher ambiguity using data science. Strong ability to create and deliver effective presentations to multiple audiences. Advanced expertise using data analytic software such as R, Python, SQL. Expert knowledge of Microsoft productivity tools: Excel, Word, and Visio and other software is necessary. Ability to work in a collaborative environment and fast paced environment. Knowledge of Extract Transform Load (ETL), Data Architecture preferred. Ability to mentor junior data scientists and colleagues.