The Metropolitan Opera is hiring a

Senior Manager, Data Science

New York, United States
Full-Time
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)
  • Montor 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 on 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

Physical Demands

  • Able to work on-site 3-5 days per week.

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