Caitlin Snyder
About Caitlin Snyder
Caitlin Snyder is a Software Engineer at Mathematica, with a background in research and evaluation across various international organizations. She holds multiple degrees in public health, international development, and data science, and has experience in managing large teams and developing data solutions.
Current Role at Mathematica
Caitlin Snyder has been employed as a Software Engineer at Mathematica since 2020. In this role, she contributes to various software development projects, leveraging her technical skills and experience. Mathematica is known for its focus on data-driven solutions and policy analysis, and Snyder plays a part in advancing these objectives through her engineering expertise.
Previous Experience in Research and Evaluation
Prior to her current position, Caitlin Snyder held various roles in research and evaluation. She worked as an Evaluation Graduate Research Assistant at MEASURE Evaluation from 2014 to 2015, and as a Graduate Research Assistant at the University of North Carolina at Chapel Hill from 2013 to 2014. Additionally, she served as a Research and Evaluation Coordinator for the International Rescue Committee from 2015 to 2016, and as Monitoring, Evaluation & Learning Director at Mercy Corps from 2017 to 2019.
Educational Background
Caitlin Snyder has a diverse educational background. She earned a Master of Public Health (MPH) from the University of North Carolina at Chapel Hill, where she studied Health Behavior from 2013 to 2015. She also holds a Bachelor of Arts in French and Peace & Justice from Wellesley College, completed in 2010. Additionally, she pursued studies in Data Science at Flatiron School and Full Stack Web Development at Le Wagon, enhancing her technical skills in programming and data management.
Technical Skills and Projects
Snyder has developed a strong technical skill set, including proficiency in Ruby, Python, HTML, CSS, and JavaScript. She has successfully deployed an automated data pipeline for a Millennium Challenge Corporation-funded project, managing a large dataset on household energy consumption in Benin. Furthermore, she refactored an ETL data pipeline, significantly improving its performance, and authored a data validation module to enhance the accuracy of health system datasets.
Leadership and Management Experience
Caitlin Snyder possesses significant management experience, having overseen teams of over 65 members in various international contexts. Her leadership roles have included positions at organizations such as Partners in Health and Mercy Corps, where she managed diverse teams and contributed to program implementation and evaluation efforts. Additionally, she participated in a DEI working group to develop workshops focused on inclusivity and power dynamics.