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Data Science, Machine Learning, and AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of California, Berkeley
PhD, Computer Science
January 1, 2001 – January 1, 2008
University of Colorado Boulder
B.S., Applied Mathematics
January 1, 1999 – January 1, 2001
Life360
Head of Data Science
December 1, 2025 – Present
Good Research
Advisor
September 1, 2024 – Present
Emerson Collective
Senior Director, Data
September 1, 2024 – November 1, 2025
Good Research
Principal, Data Science & Machine Learning
June 1, 2023 – September 1, 2024
Lyft
Head of Mapping Science
May 1, 2021 – June 1, 2023
Lyft
Head of Pricing Science
October 1, 2018 – May 1, 2021
Salesforce
Senior Director, Data Science and Machine Learning
July 1, 2016 – October 1, 2018
San Francisco Bay Area
Trifacta
Director, Data Science and Solutions Engineering
June 1, 2014 – July 1, 2016
San Francisco Bay Area
Data Scientist, Core Data Science
June 1, 2012 – May 1, 2014
Menlo Park, CA
R/GA
Director, Data Science Strategy
March 1, 2011 – May 1, 2012
New York, New York
Intel (People and Practices Research, Interaction and Experience Research, Intel Labs)
Research Scientist
January 1, 2007 – March 1, 2011
Cultural Fit Analysis
The candidate's career trajectory shows a strong alignment with leadership and strategic roles in data science, fitting well into organizations that value data-driven decision-making and innovation. Experience across diverse companies like Facebook, Lyft, Salesforce, and non-profits (Emerson Collective) indicates adaptability and a broad perspective, suggesting a good cultural fit for dynamic and mission-driven environments. The PhD background also points to a research-oriented mindset.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (Head of Data Science, Senior Director, Principal) suggests strong leadership, strategic thinking, and team management skills. Descriptions of roles at Lyft and Salesforce highlight collaboration with finance, operations, and customer success groups, indicating good cross-functional communication and operational alignment. The advisory roles further suggest strong problem-solving and consultative abilities.