Jay Martin
Data Science, Growth
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJay Martin is a data science and growth leader with 13 years of experience applying statistical learning, causal inference, and experimental design to drive product and business outcomes at Whatnot, Roblox, Netflix, Facebook, and Stitch Fix. He blends deep academic training in cognition (NSF Graduate Research Fellow, PhD work at NYU) with hands-on delivery—leading player- and user-facing analytics teams, building recommendation and experimentation platforms, and contributing to patents and peer-reviewed work. Jay’s background in human decision-making informs his approach to personalization and human-in-the-loop systems, from stylist-client matching to content discovery. He also contributes to open-source research tooling—improving psiturk’s debugging and tunneling features to enable high-volume online experiments. Based in San Francisco, he focuses on growth strategy that tightly couples causal measurement with product science to create engaging, measurable user experiences.
13 years of coding experience
16 years of employment as a software developer
Bachelor of Arts Brain and Cognitive Sciences Statistics, Bachelor of Arts Brain and Cognitive Sciences Statistics at University of California, BerkeleyPhD Candidate Brain Cognition and Perception Sciences, PhD Candidate Brain Cognition and Perception Sciences at New York University
English
Stackoverflow
529reputation
103kreached
10answers
4questions
Github Skills (23)
debugging10
debug10
tunnel10
python10
webservice10
tunneling10
devops10
flask-ask9
configuration-management9
flask9
docker8
dockers8
github-ci7
githubaction-workflow7
iframe6
Programming languages (2)
Github contributions (5)
NYUCCL/psiTurk
May 2013 - Aug 2014
An open platform for science on Amazon Mechanical Turk.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:53 commits, 2 comments in 1 year 3 months
Contributions summary:Jay made several contributions to the `psiturk` repository focused on improving the system's debugging capabilities. These changes include enabling easier debugging of ad and API servers through configuration settings and incorporating external URL printing when using the debug functionality. Furthermore, the user implemented tunnel functionality, allowing users to work through firewalls. These changes demonstrate a focus on improving the usability, deployment, and maintainability of the psiturk platform.
pythonmechanical-turksciencedata-sciencedeep-learning
jbmartin/psiturk-on-openshift
Jun 2013 - Jul 2014
Contributions:39 commits in 1 year
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