Data Science Executive Director job in Philadelphia, PA| Recruit Arrow
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Title
Data Science Executive Director
Location : Pennsylvania, Philadelphia
Refer job # MATR338039
 
Job Responsibilities and Requirements: CORE RESPONSIBILITIES: - Drive value in the broader business. Develops and communicates goals, strategies, tactics, project plans, timelines, and key performance metrics to align with multiple internal stakeholder departments and ultimately grow 's operating cash flow. Applies a broad business approach to find and create value for the company. - Build strong relationships with key stakeholders. Serves as strategic advisor to multiple functional areas within the organization (e.g., marketing, operations, care, etc.). Builds rapport with senior leaders to achieve departmental objectives. Works closely with legal and finance to ensure responsible outcomes. Exudes executive presence in both formal and informal communications. - Promote cutting edge analytics. Evaluates, compares, and applies innovative quantitative research tools and models to answer difficult but critical business questions and build solutions to decisions with large impact to profitability. Enthusiastically ready to present, defend, discuss and debate the team's work as well as implications and recommendations. - Manage cross-disciplinary team. Oversees multiple program teams that develop and provide customer, product, and business operation insights, and analysis to improve and enhance companywide decision making. Ensures the department implements and utilizes the industry best practices and technology required to provide insights, analysis and modelling for the company. - Collaborate as part of the senior leadership team within EBI. Promotes transparent communication among management team. - Command a good understanding of overall business, demonstrate in-depth understanding of predictive modeling life cycle, and architect successful projects from inception through implementation and ability. - Work closely with a team within the products and content business units to identify needs, clarify business objectives and deliver data solutions that meet the needs. - Lead efforts to define new infrastructure to extract, manage, and analyze data in a scalable way, and to make use of this data to improve our customers' efforts to develop best in class risk mitigations, acquisition engines, profitability algorithms, and new product enhancements - Other duties and responsibilities as assigned. SKILLS: - Advanced level proficiency with statistical, machine learning modeling techniques such as regression, decision trees, neural networks, support vector machines, supervised/unsupervised clustering techniques, experimental test design, etc. - Expert theoretical knowledge of machine learning modeling techniques and advanced applied skills in developing predictive targeting models within distributed computing platforms such as Hadoop, AWS, Azure, GCP using tools like Spark, Scala, SAS, R, Python, Bayesia, H2O, Storm, Yarn, Kafka, - Superior analytical skill combined with business discipline. Ability to perform insightful and actionable quantitative and qualitative analysis of the business. - Ability to manage multiple complex projects while meeting all deadlines, and manage people to achieve optimal results. - Excels in a culture of collaboration, excellence, innovation, and teamwork. - Strong interpersonal skills-an outstanding ability build relationships, influence and navigate within a complex organization. - Presence and self-confidence to interface and engage with the key constituents internally and externally. Crisp communication skills. - Self-awareness, maturity, irreproachable integrity JOB SPECIFICATIONS: - Master's degree required. PhD preferred - Quantitative fields such as Economics, Statistics, Mathematics, Decision Science, Operational Research, Computer Science or Engineering. - Generally requires 10 years related experience is an EEO/AA/Drug Free Workplace.
 
 
 
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