Spencer Smith

Spencer Smith

Data Scientist Growth @ Merit America

About Spencer Smith

Spencer Smith is a Data Scientist specializing in growth at Merit America, where he has worked since 2023. He has a diverse background in data science and operations, with previous roles at Fin.com and LiveRamp.

Work at Merit America

Spencer Smith currently holds the position of Data Scientist - Growth at Merit America. He has been with the organization since 2023, contributing to the company's data-driven initiatives in the San Francisco Bay Area. His role involves leveraging data analytics to support growth strategies and enhance operational efficiency.

Previous Experience in Data Science

Before joining Merit America, Spencer Smith worked as a Data Scientist at Fin.com from 2020 to 2023. During this three-year tenure, he focused on data analysis and modeling to inform business decisions. His earlier experience includes a role as a Product Analyst at LiveRamp from 2019 to 2020, where he contributed to product development through data insights.

Operations and Quality Analysis Background

Spencer has a solid background in operations and quality analysis. He served as a Senior Operations Analyst for Quality and Customer Success at Fin Assistant from 2017 to 2019. Prior to that, he worked as an Operations Analyst at the same company from 2016 to 2017. These roles involved ensuring operational excellence and enhancing customer satisfaction.

Education and Expertise

Spencer Smith earned a Bachelor’s Degree in Economics from the University of North Carolina at Chapel Hill, where he studied from 2012 to 2016. His educational background provides a strong foundation for his work in data science and analytics, equipping him with the necessary skills to analyze economic trends and data.

Experience in Product Operations

In addition to his data science roles, Spencer worked as a Product Operations Manager at LiveRamp for seven months in 2019. This position involved managing product operations and collaborating with cross-functional teams to optimize product performance and user experience.

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