Nicole Ogden
About Nicole Ogden
Nicole Ogden is a Senior Lead Operations Research Scientist at Coupa Software with expertise in supply chain design and a strong background in optimization and simulation.
Current Role at Coupa Software
Nicole Ogden serves as the Senior Lead Operations Research Scientist at Coupa Software. She has been in this role since 2024, working remotely. Her responsibilities likely involve leading complex research projects that focus on optimizing operational efficiencies. Her contributions are vital to Coupa's mission to deliver value through exceptional supply chain design.
Previous Roles at Coupa Software
Nicole Ogden has an extensive history with Coupa Software. Before her current role, she worked as the Lead Operations Research Scientist from 2022 to 2024 and as the Senior Operations Research Scientist from 2021 to 2022. During her tenure, she contributed significantly to the company's research initiatives, primarily focusing on optimizing operational strategies.
Work Experience at LLamasoft, Inc.
Nicole Ogden's career includes significant roles at LLamasoft, Inc. In 2020, she was an Applied Research Scientist, Senior I for two months. From 2018 to 2020, she served as an Applied Research Scientist II. She also worked as an Operations Research Scientist - Military from 2013 to 2018, based in the Greater St. Louis Area. These roles honed her skills in optimization and simulation, particularly for military applications.
Academic Background and Degrees
Nicole Ogden holds a Master of Science (MS) in Operations Research from The University of Texas at Austin, earned between 2011 and 2013. She also has a Bachelor of Science (B.S.) in Mathematics and Computer Science from Lindenwood University, completed from 2007 to 2011. These academic foundations provided her with robust theoretical and practical knowledge in her field.
Expertise in Supply Chain Design and Programming
Nicole Ogden has expertise in supply chain design within the computer software industry. She is skilled in various programming languages and tools, including C#, Java, Python, SQL, and Mosel. Her strong background in optimization and simulation underscores her ability to solve complex operational problems through advanced research methodologies.