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Ben Martin, Ph.D. has a diverse range of work experience in the field of data science. Ben is currently working as a Data Scientist at Restless Bandit, a role they have held since January 2018. Prior to this, from March 2014 to December 2017, Ben worked at LinkedIn as a Relevance/NLP Engineer. In this role, they focused on developing algorithms to improve relevance and natural language understanding.

Before joining LinkedIn, Ben worked as a Senior Data Scientist at Bright.com from January 2012 to February 2014. At Bright.com, they played a crucial role in building and maintaining predictive models and recommendation engines to enhance job seeking and candidate recruitment processes. Ben collaborated with a team of scientists and engineers to implement scalable algorithms based on natural language processing, machine learning, and statistics.

In August 2011, Ben worked as an Analytics Specialist on a contract basis at Bloomspot.com for a brief period of time, concluding in October of the same year.

Overall, Ben Martin, Ph.D. has a solid background in data science, with expertise in areas such as predictive modeling, recommendation engines, relevance, natural language processing, and machine learning.

Ben Martin, Ph.D., completed their B.S. degree in Physics and Mathematics at Wake Forest University, where they studied from 2001 to 2005. Following their undergraduate studies, they pursued a Ph.D. in Geophysics-Planetary Materials at UC Santa Barbara, undertaking their doctoral research from 2005 to 2011.