Senior Manager, Data Science

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Company: Metropolitan Opera

Location: New York, NY 10025

Description:

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.


$100,000 - $110,000 a year

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