Emma English
About Emma English
Emma English is a Senior Data Scientist at Ibotta, Inc., where she has worked since 2024. She has a diverse background in data science and legal operations, with previous roles at DaVita Inc. and NASA.
Work at Ibotta
Emma English currently serves as a Senior Data Scientist at Ibotta, Inc., a role she has held since 2024. Prior to this position, she worked as a Staff Decision Scientist from 2022 to 2024 and as a Senior Decision Scientist from 2021 to 2022. Her work at Ibotta has involved leveraging data science techniques to enhance decision-making processes within the company. Emma operates remotely, contributing to the company's data-driven initiatives.
Education and Expertise
Emma English earned a Bachelor of Science degree in Applied Mathematics from Wentworth Institute of Technology, where she studied from 2014 to 2017. Her educational background includes a strong foundation in mathematical concepts and data analysis. Additionally, she gained early research experience through an internship at UCAR, where she contributed to atmospheric research as part of a Research Experience for Undergraduates program.
Background
Emma English has a diverse professional background that includes roles in both legal operations and data science. She began her career as a Legal Operations Analyst at DaVita Inc. from 2018 to 2019. Prior to her current position at Ibotta, she also interned at NASA in 2017, where she gained exposure to data analysis in a scientific environment. Emma has also worked as a Teacher's Aide and Tutor in the Department of Applied Mathematics at Wentworth Institute of Technology.
Internship Experience
Emma English has participated in multiple internships that have shaped her career. She interned at NASA for four months in 2017, where she was exposed to data analysis in a high-stakes environment. Additionally, she completed an internship at UCAR in 2016 as part of the Research Experience for Undergraduates program, contributing to atmospheric research. These experiences provided her with valuable skills and insights into data-driven research.