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Director of Applied Science, Amazon Advertising
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I design, build, launch and operate products that rely on machine learning. I try to embody the principle of "Customer Obsessed Science": inventing solutions to real world problems with global impact. I work across science, engineering and product to build the right solutions to the most pressing, highest impact problems. I build, guide and mentor teams as they tackle new frontiers in science for applied problems.
The University of Sheffield
Doctor of Philosophy (PhD), Natural Language Processing and Machine Learning
January 1, 2005 – January 1, 2009
The University of Sheffield
Bachelor of Science (BSc), Computer Science and Artificial Intelligence
January 1, 2001 – January 1, 2004
Tadcaster Grammar School
GCSE + A-Level, Computing
January 1, 1994 – January 1, 2001
Amazon
Director of Applied Science
September 1, 2023 – Present
Amazon
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Actual Analytics
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September 1, 2012 – June 1, 2014
Greater Edinburgh Area
University of Edinburgh
Post-Doctoral Researcher
January 1, 2009 – July 1, 2012
University of Sheffield
PhD Student
September 1, 2004 – December 1, 2008
Cultural Fit Analysis
The candidate's extensive experience at Amazon, a large, data-driven, and fast-paced organization, suggests a strong cultural fit for similar environments. Their work on diverse projects like ad serving, personalization, and product clustering demonstrates versatility and a broad interest in applying data science to various business problems. The academic background combined with practical application indicates a blend of theoretical rigor and pragmatic problem-solving, which is often valued in innovative cultures.
Soft Skills & Operational Fit
The candidate's career progression at Amazon from Machine Learning Scientist to Director of Applied Science indicates strong leadership, problem-solving, and strategic thinking abilities. Their detailed descriptions of project ownership and impact suggest excellent communication and collaboration skills, crucial for operational fit in a senior role. The transition from academic research to industry, and then to leadership, shows adaptability and a results-oriented mindset.