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Data Science @ Figma
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Extracting value from data & making complex insights broadly accessible. Broad, deep skills in business intelligence, machine learning & mass media
University of Southern California
Master's degree, Computer Science
January 1, 2017 – January 1, 2020
UC San Diego
Double B.S., Bioengineering: Biotechnology & Management Science
January 1, 2002 – January 1, 2008
UC San Diego Horizon
Advisor
June 1, 2026 – Present
La Jolla, CA · Remote
Figma
Data Science Manager
August 1, 2025 – Present
Snap Inc.
Head of SMB / Mid-Market Data Science
September 1, 2022 – August 1, 2025
Snap Inc.
Data Science Manager, Growth
February 1, 2019 – August 1, 2022
Product School
Instructor
March 1, 2018 – September 1, 2018
Greater Los Angeles Area
Snap Inc.
Data Scientist, Revenue
March 1, 2016 – February 1, 2019
IMGN Media
Advisor / Investor
August 1, 2015 – March 1, 2021
San Francisco Bay Area
Data Scientist
August 1, 2014 – February 1, 2016
San Francisco Bay Area
Maker Studios Inc
Director of Analytics
February 1, 2013 – February 1, 2014
Greater Los Angeles Area
BeachMint
Director of Analytics
January 1, 2012 – February 1, 2013
Greater Los Angeles Area
Crowdstar
Analytics Lead / Manager
March 1, 2011 – January 1, 2012
San Francisco Bay Area
Booyah
Data Scientist
August 1, 2010 – March 1, 2011
San Francisco
Sometrics
Senior Business Analyst & Business Intelligence Engineer
January 1, 2009 – July 1, 2010
Greater Los Angeles Area
Amundi Smith Breeden
Research Analyst
July 1, 2008 – January 1, 2009
Raleigh-Durham, North Carolina Area
Jacobs Retinal Center i.e. Neural Engineering Lab
Software Engineer
May 1, 2006 – December 1, 2006
Cultural Fit Analysis
The candidate's career trajectory shows a consistent focus on data-driven decision-making, innovation, and growth within dynamic tech environments. Their experience spans various domains (social media, e-commerce, gaming, finance), indicating adaptability and a broad understanding of business challenges. The advisory and instructor roles suggest a willingness to contribute to the broader community and share knowledge, aligning with a collaborative and growth-oriented culture. The target role of 'Data Analyst' is a significant step down from their recent 'Data Science Manager' and 'Head of Data Science' roles, which might indicate a mismatch in seniority expectations, though their skills are highly relevant.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles, managing teams, and collaborating cross-functionally (sales, marketing, product, engineering) demonstrates strong operational fit and soft skills. Their descriptions highlight an ability to translate complex data insights into actionable business strategies and communicate effectively with various stakeholders, including executives. The advisory roles further indicate mentorship and strategic guidance capabilities.