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National Opera Center

Senior Manager, Data Science

National Opera Center, New York, New York, us, 10261


The Senior Manager, Data Science will use their skills to deepen our understanding of diverse audience segments and enhance personalized marketing strategies. The ideal candidate will have a strong background in data analytics, machine learning, and statistical modeling, with a proven ability to apply these skills in a marketing context to drive engagement and growth.Primary Responsibilities

Develop and implement advanced analytics models for audience segmentation using demographic, behavioral, and transactional data.Collaborate with marketing teams to translate data-driven insights into actionable and targeted marketing strategies.Manage end-to-end data processes related to audience segmentation, from data collection and cleaning to analysis and reporting.Design and execute A/B testing experiments to refine segmentation strategies and increase the effectiveness of targeting campaigns (e.g., email marketing).Monitor and optimize the performance of segmentation strategies, providing regular reports to senior management on key metrics and insights.Stay abreast of the latest industry trends and technologies in data science and marketing analytics, continually refining our approaches based on cutting-edge research.Work closely with IT and data management teams to ensure data accuracy, accessibility, and compliance with regulations.Skills and Qualifications

Master’s degree in Data Science, Statistics, Computer Science, or a related field.4+ years of experience in data science or a related field, with a focus on marketing analytics.Strong expertise in statistical analysis, predictive modeling, and machine learning algorithms.Proficient in SQL and experience with programming languages such as Python or R.Experience with data visualization tools and techniques (e.g., Tableau, PowerBI).Knowledge of digital marketing tools and platforms (e.g., Google Analytics, CRM systems).Excellent communication skills to translate complex quantitative data into actionable insights for non-technical stakeholders.Strong problem-solving skills and the ability to work in a fast-paced, dynamic environment.

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