Payton Jones
Senior Data Scientist (Tech Lead)
Moloco
About
Payton is a Senior Data Scientist (Tech Lead) at Moloco. He graduated with a Ph.D. in Experimental Psychopathology from Harvard University.
Interests
- Data Science
- Machine Learning
- Research
Education
PhD, Experimental Psychopathology, 2021
Harvard University
BS, Psychology, 2016
Brigham Young University
Experience
Senior Data Scientist (Tech Lead)
Moloco
- Direct feature optimization initiatives for DSP and RMP platforms, driving revenue growth across several verticals.
- Streamline feature preparation processes, bolstering model performance and scalability across products.
- Foster innovation through cross-functional collaboration, facilitating agile responses to market dynamics and strategic enhancements.
Senior Data Scientist
Pluralsight
- Built and scaled production-level deep learning recommenders to millions of users, handling variable request volumes with <50ms latency.
- Extended personalized recommendations to 44.3% more users, boosting clickthrough rate by 25.4%.
- Pioneered the implementation of a centralized A/B testing framework, communicating experiment findings to the executive suite during product reviews.
Data Scientist
Hyka Therapeutics
- Developed machine learning recommendation algorithms for therapeutic content deliverables.
- Implemented digital phenotyping & psychometric software.
- Provided solutions for data analyses & visualizations of real-time mental health data.
Projects
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Advanced Rent vs. Buy Calculator
Interactive open-source calculator and visualizations for making the decision to rent or buy
networktools R package
Tools for psychometric networks. Bridge centrality, MDS plotting, and related functions.
networktree R package
Machine learning based partitioning for psychometric network models
What Statistic? R Shiny
An interactive tool for learning statistical testing methods in R.
Selected Publications
List of all publications (Google Scholar)
(2021).
The Neurotic Treadmill: Decreasing Adversity, Increasing Vulnerability?.
Doctoral Dissertation.
(2021).
What's in a trauma: Using machine learning to unpack what makes an event traumatic.
Journal of Affective Disorders. https://doi.org/10.1016/j.jad.2021.07.066.
(2020).
Network trees: A method for recursively partitioning covariance structures.
Psychometrika, 85, 926-945. https://doi.org/10.1007/s11336-020-09731-4.
(2019).
Bridge centrality: A network approach to understanding comorbidity.
Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2019.1614898.
Contact
- paytonjjones@gmail.com
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