Gordon Linoff
About Gordon Linoff
Gordon Linoff serves as the Head of Subscriber Forecasting and Subscriber Analytics at The New York Times since 2018, bringing extensive experience in data analytics and consulting. He has held various roles in academia and industry, including positions at Columbia University and co-founding Data Miners, Inc.
Work at The New York Times
Gordon Linoff has been serving as the Head of Subscriber Forecasting and Subscriber Analytics at The New York Times since 2018. In this role, he focuses on analyzing subscriber data to enhance forecasting accuracy and improve subscriber retention strategies. Linoff previously worked at The New York Times as a Data Mining and Database Marketing Consultant from 2000 to 2006, where he contributed to the development of data-driven marketing strategies.
Education and Expertise
Linoff studied at the Massachusetts Institute of Technology, where he earned a Bachelor of Science degree in Mathematics from 1981 to 1985. His educational background provides a strong foundation for his work in data analytics. He has a strong background in relational databases and parallel computing, applying these skills to real-world environments. Linoff has taught courses on data analytics, sharing his expertise with students and professionals.
Professional Experience
Linoff has extensive experience in data analytics and consulting. He has worked at SAS since 1998, focusing on professional training. He also held positions at Datran Media as a Data Mining Consultant from 2005 to 2008, and at Lamco LLC as a Consultant from 2010 to 2013. Additionally, he worked as a Project Manager at Thinking Machines Corporation from 1987 to 1994. His diverse roles have contributed to his comprehensive understanding of data-driven decision-making.
Consultancy and Entrepreneurship
Gordon Linoff co-founded Data Miners, Inc., a consultancy that specializes in analyzing large volumes of data for marketing and customer relationship management (CRM) purposes. The consultancy focuses on subscription-based industries, leveraging Linoff's expertise in data analytics to provide insights that drive business growth.
Publications and Contributions
Linoff has authored four books on data analytics and data mining, including 'Data Analysis Using SQL and Excel' and 'Data Mining Techniques for Marketing, Sales, and Customer Relationship Management'. His publications contribute to the field by providing practical insights and methodologies for professionals working with data.