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Sr. Director, Data Science
Entertainment & Media Industry Company
Philadelphia, PA, United States
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Job Summary:
Responsible for developing business cases and processes to measure the business impact of the internal business intelligence solutions. Defines and implements the overall business intelligence program goals and tasks in terms of scope, quality, budget, and schedule. Provides leadership and direction for team which may include multiple functional areas. Develops and implements strategy for functional area(s). May have responsibility for developing and managing budget. Incorporates broad knowledge to address complex, unusual and critical issues.
Role Description:
• Design, develop and deploy data-driven predictive models to solve business problems using the most appropriate techniques in data mining, machine learning, and statistical modeling
• Dive into large, noisy, and complex real-world behavioral data to produce innovative analysis of historical patterns in customer behaviors and product performance
• Find hidden gems that improve our understanding of customer behavior and drive decisions that improve OCF
• Assume ownership for analysis projects from data modeling to final delivery.
• Collaborate with business owners and teammates to solve business problems, which may include standard tool or custom algorithm development
• Work closely with data warehouse architects and software developers to generate seamless business intelligence solutions for business partners
• Ensure that the required types, history, and granularity of data is captured to support analytic needs and opportunities
Qualifications
Functional Competencies:
• Comfort and experience with the art and science of extruding insight from massive, unstructured data sets
• Strong understanding of database structure, design, query languages (e.g. SQL), fundamentals of mathematics, large data sets distributed systems, and statistical concepts
• Deep knowledge of analytic methodologies such as regression, signal processing, optimization, machine learning, data mining, etc.
• Strong working knowledge of data mining algorithms such as decision trees, probability networks, association rules, clustering, regression, and neural networks.
• Experience with large database mining tools (e.g., SAS, Hadoop, R, Stata)
• Experience with analytics packages SAS, SPSS, Matlab, R, Weka etc.
• Creativity to go beyond current tools to deliver best solution to the problem
• Good understanding of high-level product architecture and data flow patterns.
Interpersonal Competencies:
• Experience sharing insights and recommendations to audiences with varying levels of analytic understanding
• Ability to lead data science teams and choreograph delivery
• Ability to communicate complex concepts in easy-to-understand terminology
• Team player with a 'can-do' attitude
• 'Lean forward' bias to find opportunities and drive results
• Ability to work effectively across functions, disciplines, and levels
Preferred Educational Level:
• BS or MS in a quantitative field of Computer Science, Math, or Statistics
• PhD preferred
• BS or MS degree in Mathematics, Computer Science, Statistics, Operations Research, or other quantitative field.
• Advanced degree (PhD) in a quantitative field (i.e., Statistics, Engineering, Machine Learning, Physics, Econometrics, etc.)
Experience:
• 12+ years working experience
• Direct, personal experience analyzing massive unstructured data sets
• Experience in telecommunications, internet, ecommerce, or media, preferred
Company is an EOE/Veterans/Disabled/LGBT employer