Lead Data Scientist
CurrentAs a Lead Data Scientist in the MMC Data Analytics group, I am responsible for deriving and delivering actionable insight from data stored in multiple silos in a fast-paced and high growth environment that values strategic communication, innovation and data-driven results. Key Responsibilities:•Implement and develop leading-edge techniques in predictive modeling, machine learning, artificial intelligence, natural language processing, etc. as applied in IT operations & compliance and cybersecurity risk assessment.•Design and develop a complete view of the Data Science Life Cycle encompassing business understanding, data mining, data cleaning, data exploration, feature engineering, training, and testing of machine learning models, publishing results, and data visualization. •Deliver data-driven insight based on predictive/prescriptive analytics (ML/AI etc.), NLP, Optimization techniques, Bayesian Probability Models, and Time Series Analysis to support IT operations and security compliance.•Conduct statistical analysis on data and information to ensure correct predictive forecasting or classification. Manage all aspects of end-to-end data processing, maintain analytical systems and data repositories, verify the accuracy of the data, and act as a liaison with data owners.•Manage all aspects of Unified Analytics Pipeline's end-to-end functions that integrate work-streams related data ingestion, data preparation, data hosting, data wrangling, training and testing of the model, and data attribution.•Develop dashboards and storylines using Tableau or applicable visualization technology available to convey the insight.•Develop and maintain business intelligence dashboards supporting insights into key domains of infrastructure data related to risk, operational efficiencies, and compliance.•Manages all aspects of end-to-end data processing utilizing customized report building functions of systems