Lead Data Scientist

• Employ sophisticated analytics programs, machine learning and statistical methods to deliver smart city use-cases • Prepare data for use in predictive and prescriptive modeling • Explore and examine data to find hidden patterns • Create advance analytics and machine learning models through descriptive, predictive and prescriptive modeling • Visualize findings with industry standard tools • Work with data engineer to automate model scoring and other work routines • Monitor and fine-tune model performance (in a steady state) based on new variables, requirements or industry trends/best practices • Strong ability to process large amounts data from different data sources (SQL, No-SQL, Big Data) • Strong knowledge of applied mathematical and statistical analysis • Strong knowledge of machine learning and artificial intelligence techniques • Strong knowledge of reporting and data visualization tools • Business Thinking • Professional Orientation • Achieving Results • Managing People • Preferred Tools: Azure Synapse Analytics, Azure Stream Analytics, Data Lake Analytics, HDInsight