Sean Litsey
Data AnalystManager, Applied Science at Amazon
Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Manager, Applied Science at Amazon
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
UCLA
Doctor of Philosophy (Ph.D.), Theoretical Particle Physics
January 1, 2010 – January 1, 2016
Yale University
Bachelor of Science (B.S.), Mathematics and Physics
January 1, 2006 – January 1, 2010
Amazon
Manager, Applied Science
February 1, 2022 – Present
Seattle, Washington, United States
Amazon
Senior Applied Scientist
October 1, 2020 – February 1, 2022
Seattle, Washington, United States
Amazon
Applied Scientist
November 1, 2017 – September 1, 2020
Seattle, Washington, United States
Esurance
Data Scientist
November 1, 2016 – November 1, 2017
San Francisco, California, United States
UCLA
Graduate Student Researcher
April 1, 2012 – June 1, 2016
Los Angeles, California, United States
UCLA
Graduate Teaching Assistant
September 1, 2010 – June 1, 2016
Los Angeles, California, United States
Cultural Fit Analysis
The candidate's background in theoretical physics and subsequent career in applied science at Amazon, including leadership roles, indicates a strong drive for complex problem-solving and innovation. Their experience with large-scale systems (recommendations, personalization) aligns with a fast-paced, data-driven environment. The target role of 'Data Analyst' might be a step down from their 'Manager, Applied Science' role, which could indicate a potential mismatch in career progression expectations or a desire for a more focused individual contributor role. The lack of specific project details makes it difficult to fully assess diversity of experience beyond their primary roles.
Soft Skills & Operational Fit
The candidate's experience as a Manager, Applied Science at Amazon suggests strong leadership, problem-solving, and team collaboration skills. Their academic background as a Graduate Teaching Assistant also indicates strong communication and mentorship abilities. The transition from theoretical physics to applied science and data science demonstrates adaptability and a strong analytical mindset.