Lead Data Scientist - Veterans Affair

Description

• Leads data science efforts, working closely with clients, data, developers to understand mission and data. 
• Develops algorithms leveraging modern data science technologies including reinforcement learning systems, machine learning and more. 
• Deep expertise in causal inference, high-dimensional regression, time-series analysis, and forecasting.
• Strong proficiency in Python or R (PyData stack: Pandas, NumPy, SciPy, Statsmodels, Scikit-learn).
• Demonstrated ability to communicate statistical findings clearly to non-technical executive audiences.
• Lead development of advanced AI/ML systems using techniques such as deep learning, representation learning, time-series modeling, survival analysis, and probabilistic modeling to solve complex healthcare problems or analyze fraud.
• Ability to analyze and profile varied related and unrelated data sets. 
• Manage technology projects or lead technology solutioning. 
• Provides highly technical and specialized guidance and solutions to complex IT problems; performs elaborate analyses and studies. 
• Evaluates, recommends, and executes new technologies and updates existing infrastructure to ensure optimal performance and efficiency. 
• Develops IT strategies to ensure the systems meet existing and future requirements based on needs and regulations. 
• Works in a variety of environments and has excellent verbal and non-verbal communication skills.

Requirements

• Must be a U.S. Citizen to obtain a security clearance? 
• BS degree with 10+ years of experience in machine learning, artificial intelligence, or applied data science with 7+ years of designing and deploying production machine learning systems
• 8+ years of experience in Python-based machine learning development using frameworks such as PyTorch, TensorFlow, or equivalent along with solid SQL skills.
• 5+ years of experience deploying production ML systems including model serving, monitoring, ML lifecycle      management, and collaboration with engineering teams.
• Experience configuring and working in Azure environments to execute data science activities including data preparation, analysis, and model development, training, and deployment. 
• Experience building and integrating the at the application and database level.
• At least 2 years of theoretical and practical background in statistical analysis, machine learning, predictive modeling, and/or optimization.
• Excellent verbal and written communications skills along with the ability to present technical data and approaches to both technical and non-technical audiences.
• Ability to work efficiently with a geo