Senior Manager, Data Science

Posted 21 Days Ago
Lincoln, NY
Hybrid
100K-110K Annually
Senior level
Information Technology • News + Entertainment
The Role
The Senior Manager, Data Science will develop advanced analytics models to enhance audience segmentation. They will collaborate with marketing teams to translate insights into strategies, manage data processes, and execute A/B testing. Strong analytical skills and knowledge of data science in a marketing context are required.
Summary Generated by Built In

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.

The Metropolitan Opera believes that diversity is critical to our success and growth as a leading performing arts institution and we seek to recruit, develop and retain the most talented people from a diverse candidate pool. Our goal is to be a diverse workforce that is representative, at all job levels, of the communities we serve.


The Metropolitan Opera is an equal opportunity employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and existing employees without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, citizenship status, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, or any protected category prohibited by local, state or federal laws.

Top Skills

Python
R
SQL
The Company
New York, , New York
83 Employees
On-site Workplace
Year Founded: 1935

What We Do

The Metropolitan Opera Guild, Inc. is a supporting organization of The Metropolitan Opera Association, Inc. Since 1936, the Guild has been dedicated to cultivating a wide, public and passionate base of supporters for opera and its allied arts

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