Key Leadership Skills
• Ownership of Strategy and Vision for Data Products
• Coordination Across Engineering and Business Teams
• Definition and Measurement of KPIs
• Determination and Documentation of Business Needs and Product Requirements
• Clear Oral and Written Communication; able to Tailor Message for Varied Audiences
• Experienced in Agile, Scrum, and Waterfall development methodologies

Key Data Science Skills
• Analysis and Visualization of High-Volume and High-Dimensionality Data
• Algorithm Development and Statistical Analysis using Python, Java, Matlab, C++, IDL
• Machine Learning for Regression, Clustering, and Optimization
• Extraction of Data-Driven Insights into User Behavior from Noisy “Big Data” Sets
• Modeling of User Data to Drive Decision-making
• Signal Processing: Correlation, FFT, and Wavelet Analysis
• SQL for Data Mining and Analysis
• Delivery of Actionable Solutions Based on Business Needs