Piotr Urbanski, Ph.D.
About Piotr Urbanski, Ph.D.
Piotr Urbanski, Ph.D., is a Senior Data Scientist at Movable Ink with extensive experience in data science and analytics across various industries, including videogames and technology marketing. He specializes in computational behavior sciences and advanced statistical techniques, and he has held leadership roles in several organizations, contributing to research and mentoring in the field.
Current Role at Movable Ink
Piotr Urbanski serves as a Senior Data Scientist at Movable Ink, a position he has held since 2021. In this role, he applies his expertise in data science to enhance marketing strategies and analytics. His work involves utilizing advanced statistical techniques and data visualization tools to drive insights and support decision-making processes within the organization.
Previous Experience at Ayzenberg
Prior to his current role, Piotr worked as the Director of Data Science at Ayzenberg for six months in 2021. His responsibilities included overseeing analytics, insights, strategy, and reporting. This position allowed him to leverage his skills in computational behavior sciences to inform marketing strategies.
Background in Marketing Science at space.camp
Piotr Urbanski held multiple positions at space.camp, starting as Manager of Marketing Science from 2018 to 2019, then advancing to Associate Director from 2019 to 2021, and briefly serving as Director of Data Science in 2021. His roles focused on analytics, insights, and strategy, contributing to the company's marketing efforts through data-driven decision-making.
Academic Qualifications
Piotr earned his Bachelor of Science degree from Florida State University, studying from 2005 to 2009. He later pursued a Ph.D. at Texas A&M University, completing his studies from 2009 to 2014. His academic background provides a strong foundation for his specialization in computational behavior sciences and analytics.
Expertise and Skills
Piotr Urbanski specializes in applying computational behavior sciences across various industries, particularly in marketing. He has experience with graph data and analytics tools, advanced statistical techniques, and psychometric measurement. His proficiency extends to cloud platforms and marketing technology tools, enabling him to develop and refine prototypes for production-ready implementations.