Nicole Misek
About Nicole Misek
Nicole Misek serves as the Vice President of Decision Engineering at Nextmv, a position she has held since 2021. With a background in statistics and experience in decision science, she has previously worked at Grubhub and MITRE.
Work at Nextmv
Nicole Misek has served as the Vice President of Decision Engineering at Nextmv since 2021. In this role, she focuses on enhancing decision-making processes through data-driven strategies. Prior to her current position, she was the Head of Decision Analysis at Nextmv for one year, where she contributed to the company's analytical capabilities. Her experience at Nextmv reflects her commitment to leveraging technology for improved operational efficiency.
Previous Experience at Grubhub
Before joining Nextmv, Nicole Misek worked at Grubhub as a Senior Decision Scientist from 2017 to 2020. Based in London, United Kingdom, she was responsible for utilizing statistical methods to inform business decisions. Her role involved analyzing data to optimize various operational aspects of the company, contributing to Grubhub's data-driven culture.
Background at MITRE
Nicole Misek's career includes significant experience at MITRE, where she worked for four years as a Senior Statistician from 2013 to 2017. During her tenure, she applied her statistical expertise to various projects. Additionally, she completed a two-month internship at MITRE in 2012, gaining early exposure to data analysis and decision-making processes.
Education and Expertise
Nicole Misek holds a Master of Science in Statistics from Penn State University, where she studied from 2011 to 2013. She also earned a Bachelor of Science in Statistics from the University of Michigan, completing her degree from 2007 to 2011. Her educational background provides a strong foundation in statistical analysis, which she applies in her professional roles.
Projects and Contributions
Throughout her career, Nicole Misek has been involved in various projects that demonstrate her expertise in decision modeling. Notably, she contributed to the development of a custom decision model for optimizing on-call schedules that integrates with the PagerDuty API. She also participated in a tutorial focused on comparing decision models in operational environments using switchback testing, showcasing her commitment to advancing decision-making methodologies.