Cameron Mence
Director Data Science
Palo Alto, California, United States
Summary
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Senior🎓
Top SchoolCameron Mence is a Director of Data Science with two decades of experience applying statistics and machine learning across financial services and major consumer tech products. He has led and scaled data science teams at Meta, driving Feed ranking, recommendations, experiment frameworks and measurement of subjective product quality, while earlier roles at ANZ focused on marketing optimisation, recommender systems and pioneer use of Hadoop/Spark for transaction and clickstream analysis. Cameron blends rigorous applied statistics (Master’s in Applied Statistics) with strong business acumen—quantifying P&L impacts, optimizing marketing ROI and shaping product incentives—to turn complex data into measurable commercial value. He is hands-on with Python, R, SAS and visualization tools, practices continual learning via competitions and a blog, and has a track record of embedding experimental and causal methods into decision-making. Notably, he thrives where sophisticated data use is treated as a strategic advantage and enjoys translating technical insight into stakeholder-ready narratives.
11 years of coding experience
13 years of employment as a software developer
Postgraduate Certificate in Applied Statistics Statistics, Postgraduate Certificate in Applied Statistics Statistics at Swinburne University of TechnologyThe University of MelbourneGithub contributions (4)
standarderror/Jupyter-Notebooks
Oct 2015 - Jan 2018
Contributions:8 commits, 7 pushes, 1 branch in 2 years 3 months
standarderror/Dewey-Decimal-System-tree
Dec 2014 - Dec 2014
Contributions:1 commit in 1 day
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