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Vice President of Advance Analytics & Measurement Sciences
Viacom
New York, NY, United States
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Overview and Responsibilities
As the Vice President of Advance Analytics & Measurement Sciences, you will be an active, hands-on leader, who will manage a data science team responsible for understanding Viacom Media Networks’ (VMN) audience, their behavior and how VMN content is consumed across different viewing platforms. You will also be responsible for developing strategies to optimize content and advertisements to generate revenue in a rapidly evolving media landscape. You will accomplish these goals in a data-driven manner by developing and implementing predictive algorithms and deriving insights from big data. You will also collaborate with other data teams within the organization, communicate findings to key stakeholders with varying levels of technical expertise and evangelize data-driven business decisions.
Responsibilities
• Lead, nurture, and grow a data science team
• Manage multiple projects in parallel and oversee their completion from start to finish, setting goals and project milestones
• Promote best practices for statistical analyses and machine learning modeling
• Help determine what metrics are critical to the organization, construct predictive models to optimize those metrics, and build out those projects into useful data products
• Use first/third party data sources across digital, linear and social platforms to better understand VMN’s audience and derive insights to increase the value of VMN brands
• Work collaboratively with other data strategy teams within the organization
• Communicate results to key stakeholders
Basic Qualifications
• Graduate degree in a quantitative discipline (PhDs preferred)
• 10+ years of work experience in advanced data analytics/data science
• 5+ years of experience managing/leading a team of data scientists with a track record of overseeing multiple data science and machine learning projects at all stages: from idea generation to objectives formulation to implementation and deliverables
• Extensive experience with data exploration, data cleaning, implementation of advanced statistical and machine learning algorithms (e.g., time-series analysis and forecasting, clustering, and advanced classification and regression techniques such as decision trees, neural networks, deep learning, and ensemble algorithms), as well as rigorous model validation and evaluation
• Fluency in at least 1 of the following programming languages: Python, R, C, C++, or SAS
• 2-5+ years of experience with design and management of relational (SQL) and non-relational (NoSQL) databases; familiarity with Amazon Web Services (AWS) and Redshift is a plus
• Knowledge of Spark or Hadoop is a plus
Additional Qualifications
• Excellent interpersonal and leadership skills with the ability to develop and guide team members to deliver actionable results
• Excellent verbal, written and formal presentation skills
• Comfortable interacting across multiple teams and management levels within the organization
• Previous background in the media landscape (linear, digital, or social) is a plus