Brad Yarbro

Senior Data Scientist @ Protective Life

About Brad Yarbro

Brad Yarbro is a Senior Data Scientist at Protective Life, where he has worked since 2021. He holds a Master of Science in Statistics from The University of Alabama and has previous experience at Lockheed Martin and in academic research.

Work at Protective Life

Brad Yarbro has been employed at Protective Life since 2021, serving as a Senior Data Scientist. In this role, he collaborates with actuarial and underwriting teams to assess and enhance mortality metrics. He has developed model monitoring capabilities from scratch using Python, which helps identify data issues that affect the production model. Additionally, he has played a key role in onboarding and mentoring two junior data scientists and was responsible for hiring the first data science intern at the company.

Education and Expertise

Brad Yarbro earned a Master of Science in Statistics from The University of Alabama, completing his studies from 2018 to 2019. Prior to this, he obtained a Bachelor of Science in Economics and Mathematics from the same institution, studying from 2013 to 2017. His educational background provides a strong foundation in data analysis and statistical modeling, essential for his current role in data science.

Background

Before joining Protective Life, Brad Yarbro worked at Lockheed Martin in various capacities. He served as a Data Analyst in Supplier Quality Engineering from 2019 to 2020 and then transitioned to the role of Senior Data Scientist in Supply Chain from 2020 to 2021. His experience at Lockheed Martin included remote work and focused on data-driven decision-making within supply chain operations. He also worked as a Data Scientist at The University of Alabama's Institute of Data Analytics from 2018 to 2019.

Achievements

At Protective Life, Brad Yarbro has made significant contributions, including the development of model monitoring capabilities that enhance data integrity. He has successfully onboarded and mentored junior data scientists, fostering a collaborative environment within the team. His initiative in hiring the first data science intern demonstrates his commitment to building a robust data science practice at Protective Life.

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