Phillip Gilmore

Q: What is Phillip Gilmore email address?

Email Phillip Gilmore at phillip.gilmore@att.com. This email is the most updated Phillip Gilmore email found in 2026.

Q: How to contact Phillip Gilmore?

To contact Phillip Gilmore send an email to phillip.gilmore@att.com.

Principal Data Scientist at AT&T | Springfield, Pennsylvania, United States

About Phillip Gilmore

Phillip Gilmore serves as a Principal Data Scientist at AT&T, where he leverages over a decade of experience in analytics and scientific research design to drive impactful data-driven initiatives. With a Ph.D. in Industrial-Organizational Psychology, Phillip uniquely bridges the gap between complex data analytics and practical business applications. His role involves translating high-level business objectives into actionable data science projects, ensuring that insights derived from advanced statistical methods and psychometrics are effectively communicated to leadership and stakeholders.

At AT&T, Phillip is currently spearheading several key projects that focus on enhancing customer engagement and optimizing operational efficiency. By employing his expertise in data and feature engineering, he identifies prospect psychographics that inform targeted marketing strategies and improve customer retention rates. His proficiency in a diverse technical toolkit—including Python, SQL, and cloud platforms like Azure and AWS—enables him to handle large datasets and implement sophisticated machine learning models that drive revenue growth.

Phillip's commitment to fostering a data-driven culture within the organization is evident in his collaborative approach. He regularly consults with business partners to align analytics initiatives with strategic goals, demonstrating the tangible revenue impact of data science efforts. His skills in survey design and program evaluation further enhance his ability to assess learning outcomes and inform decision-making processes. As a passionate communicator and educator, Phillip not only excels in technical execution but also in public speaking, ensuring that complex data insights are accessible and actionable for all stakeholders involved.

Phillip Gilmore Work