Help & Supportcareers@gravityer.com
VP, AI & Data
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Experienced leader specialized in AI, ML, data science, data engineering, and analytics
Stanford University
Master of Science (MS), Statistics
January 1, 2012 – January 1, 2014
New York University
Mathematics
January 1, 2010 – January 1, 2012
Colgate University
Bachelor of Arts (BA), Mathematical Economics
January 1, 2006 – January 1, 2010
Well
VP, AI & Data
April 1, 2019 – Present
Flatiron School
Lead Data Science Instructor
September 1, 2018 – November 1, 2018
New York, NY
Roam Analytics
Machine Learning Engineer
July 1, 2016 – April 1, 2019
New York, NY
Square
Data Scientist
April 1, 2014 – July 1, 2016
San Francisco, CA & New York, NY
NERA Economic Consulting
Analyst
July 1, 2010 – July 1, 2012
New York, NY
Goldman Sachs
Equity Research Analyst
June 1, 2009 – August 1, 2009
New York, NY
KNG SECURITIES LLP
Analyst
January 1, 2009 – May 1, 2009
London Area, United Kingdom
Cultural Fit Analysis
The candidate has a diverse background spanning finance, education, and healthcare tech, indicating adaptability. The leadership role at 'Well' and experience at 'Roam Analytics' (acquired by Parexel) align with innovative and impactful work environments. The breadth of experience from data scientist to ML engineer to VP suggests a growth mindset and ability to take on increasing responsibility. The target role of ML Engineer aligns well with their core technical experience, particularly at Roam Analytics and Square.
Soft Skills & Operational Fit
The candidate's experience as a Lead Data Science Instructor and VP, AI & Data suggests strong communication, leadership, and team collaboration skills. The description of building a recommendation engine and optimizing business metrics indicates a results-oriented approach and problem-solving capabilities. However, without psychometric test results, a definitive assessment of work attitude, stress handling, and team collaboration is limited.