David Christle
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Distinguished Engineer
Physicist excited about statistical inference and machine learning on large-scale datasets working in anti-abuse/security/risk. Previously, as a physicist, I performed some of the first experiments on new atom-sized systems for precision nanoscale sensing and quantum information processing. Some coverage of my work is here: VICE Motherboard: https://motherboard.vice.com/en_us/article/ev4yjz/we-can-use-existing-telecom-infrastructure-for-quantum-communications Nature Reviews Materials: https://www.nature.com/articles/natrevmats201752 Science: http://science.sciencemag.org/content/357/6352/649 My academic publications are available on Google Scholar: https://bit.ly/1PSK2lO
University of Chicago
Doctor of Philosophy (Ph.D.), Quantum Science & Technology, Molecular Engineering
January 1, 2013 – January 1, 2016
UC Santa Barbara
Master of Arts (M.A.), Physics
January 1, 2009 – January 1, 2014
University of Minnesota
Bachelor of Science (B.S.), Mathematics
January 1, 2005 – January 1, 2009
University of Minnesota
Bachelor of Science (B.S.), Physics
January 1, 2005 – January 1, 2009
Ford Motor Company
Distinguished Engineer
February 1, 2025 – April 1, 2026
Palo Alto, California, United States · Remote
Discord
Staff Machine Learning Engineer
May 1, 2022 – August 1, 2024
San Francisco Bay Area
Cash App
Machine Learning Engineer (L6)
April 1, 2021 – May 1, 2022
San Francisco Bay Area · Hybrid
Senior Software Engineer - Data Mining/Machine Learning
December 1, 2019 – April 1, 2021
Software Engineer - Data Mining/Machine Learning
January 1, 2018 – December 1, 2019
Insight Data Science
Data Science Fellow
September 1, 2017 – December 1, 2017
Palo Alto, California
University of Chicago
Postdoctoral Scholar
September 1, 2016 – August 1, 2017
Chicago, Illinois
University of Chicago
Graduate Student Researcher
July 1, 2013 – August 1, 2016
Chicago, Illinois
UC Santa Barbara
Graduate Student Researcher
September 1, 2009 – July 1, 2013
Santa Barbara, California
National Institute for Materials Science
REU Intern
June 1, 2009 – August 1, 2009
Tsukuba, Japan
UC Santa Barbara
REU Intern
June 1, 2008 – August 1, 2008
Santa Barbara, California
University of Minnesota
Undergraduate Researcher
August 1, 2006 – May 1, 2009
Minneapolis, Minnesota
Cultural Fit Analysis
The candidate has a strong background in highly technical and research-intensive roles, transitioning from academia to senior engineering positions in prominent tech companies. Their experience spans various domains within data and ML, including anti-abuse, fraud mitigation, and real-time systems. While the target role is 'Data Analyst', the candidate's experience is heavily skewed towards Machine Learning Engineering and Data Engineering, which are typically more advanced and implementation-focused than a traditional Data Analyst role. This suggests a potential mismatch in the scope and depth of the target role versus the candidate's demonstrated capabilities. The breadth of skills is high, but the alignment with a pure 'Data Analyst' role might require clarification.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership in technical initiatives, mentoring engineers, and cross-team collaboration, suggesting strong soft skills. Their academic background and transition into industry roles indicate adaptability and a strong problem-solving mindset. The detailed descriptions of architecting and leading projects suggest a proactive and ownership-driven operational fit.