
Sr Director, Personalization at Pinterest
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Expertise in big data, machine learning, text mining, hidden Markov model (HMM), design of experiments, statistical modeling, time series and optimization.
University of Science and Technology of China
Bachelor's degree, Statistics
N/A – Present
Georgia Institute of Technology
Master's degree, Computational Science & Engineering
N/A – Present
Georgia Institute of Technology
Doctor of Philosophy (PhD), Statistics
N/A – Present
Sr Director of Machine Learning
March 1, 2026 – Present
Director of Machine Learning
October 1, 2023 – February 1, 2026
Engineering Manager, Homefeed Relevance
June 1, 2021 – October 1, 2023
Engineering Manager, Homefeed Ranking and Blending
November 1, 2020 – June 1, 2021
Software Engineering Manager
January 1, 2020 – November 1, 2020
Staff Software Engineer at LinkedIn
May 1, 2018 – December 1, 2019
Senior Software Engineer-Data Mining/Data Analysis/Machine Learning
February 1, 2016 – April 1, 2018
Blizzard Entertainment
Lead Data Scientist
December 1, 2015 – February 1, 2016
Blizzard Entertainment
Senior Data Scientist
September 1, 2015 – November 1, 2015
Blizzard Entertainment
Data Scientist
January 1, 2013 – August 1, 2015
Georgia Institute of Technology
Teaching Assistant
August 1, 2011 – December 1, 2011
Atlanta, GA
Georgia Institute of Technology
Research Assistant
August 1, 2009 – May 1, 2013
Atlanta, GA
Cultural Fit Analysis
The candidate has a consistent career trajectory within large tech companies (Blizzard, LinkedIn, Pinterest), indicating adaptability to corporate environments and large-scale operations. Their progression through various data science and ML roles, culminating in senior leadership, shows ambition and a drive for impact. The academic background in Statistics and Computational Science aligns well with data-driven cultures. However, the target role of 'Data Analyst' is a significant step down from their current and past leadership positions, which might indicate a mismatch in expectations or a desire for a different type of challenge. This could be a strong cultural fit for a data-intensive organization, but the role level needs clarification.
Soft Skills & Operational Fit
The candidate's career progression from Data Scientist to Sr Director of Machine Learning demonstrates strong leadership, strategic thinking, and the ability to manage complex technical teams and products. The descriptions highlight a focus on turning cutting-edge AI into practical applications, indicating a results-oriented approach. While the target role is 'Data Analyst', the candidate's experience is significantly more senior and focused on leadership in ML/AI, suggesting a potential mismatch in operational scope. Their ability to lead large teams and drive product innovation implies strong communication and collaboration skills, though these are not directly assessed.