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Senior Staff Data Scientist @ Databricks | PhD in Computer Science
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 am an experienced technical leader working on complex trust and safety problems at the intersection of technology, security, and user experience.
The University of Texas at Austin
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2009 – January 1, 2015
The University of Texas at Austin
Master of Science (M.Sc.), Computer Science
January 1, 2006 – January 1, 2009
Swarthmore College
BA, Mathematics
January 1, 2000 – January 1, 2004
Databricks
Senior Staff Data Scientist
June 1, 2022 – Present
Apple
Senior Machine Learning Manager at Apple
October 1, 2018 – June 1, 2022
Apple
Machine Learning Manager
November 1, 2016 – October 1, 2018
Apple
Data Scientist
July 1, 2011 – November 1, 2016
ITA Software
Data Scientist Internship
May 1, 2007 – August 1, 2007
Cambridge, MA
University of Texas at Austin
Graduate Research and Teaching Assistant
September 1, 2006 – May 1, 2011
Austin, TX
Bear Stearns
Software Engineer
January 1, 2004 – January 1, 2006
Cultural Fit Analysis
The candidate's extensive experience at large, innovative tech companies like Apple and Databricks suggests a strong fit for data-driven, fast-paced environments. The academic background (Ph.D.) indicates a research-oriented mindset, which can be beneficial for complex problem-solving. The progression through various data-related roles aligns well with a culture that values continuous learning and growth. The target role of 'Data Analyst' might be a step down from 'Senior Staff Data Scientist' or 'Senior Machine Learning Manager', which could indicate a desire for a more focused, individual contributor role or a potential mismatch in seniority expectations.
Soft Skills & Operational Fit
The candidate's career progression into management roles at Apple suggests strong leadership and project management capabilities. The long tenure at Apple (over 10 years) indicates loyalty and ability to adapt within a large organization. However, without specific project descriptions or psychometric test results, it is difficult to assess collaboration, stress handling, or detailed work attitude.