Cameron Bates
Principal Data Scientist
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolCameron Bates is a Principal Data Scientist based in Berkeley with 14 years of experience turning analytics into product growth across consumer platforms. At Meta he led experiment design, built Python pipelines and anonymized datasets that accelerated Dating from 0-to-1 while integrating features across core Facebook products. Previously at Match Group he delivered production attribution and forecasting systems (Java, R, SQL, VBA) that improved accuracy and reduced churn, and he has hands-on expertise in marketing analytics, financial forecasting, and behavioral segmentation. Cameron is also an active open-source contributor, having refactored Jupyter/IPython frontends to Jinja2 and maintained scientific tooling like PyNE and conda recipes, demonstrating a rare blend of product-facing experimentation and low-level engineering. He combines strategic vision for roadmaps and prioritization with meticulous code-level contributions that improve reliability and reproducibility.
14 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.S.), Bioengineering and Biomedical Engineering, Bachelor of Science (B.S.), Bioengineering and Biomedical Engineering at University of California, Berkeley
Github Skills (24)
notebook10
maintenance10
python10
jinja210
package-management10
jupyter10
tornado10
conda10
ipython10
front-end-development10
build-automation10
code-cleanup10
jupyter-notebook10
javascript9
c-language9
Programming languages (6)
Github contributions (5)
pyne/pyne
Nov 2013 - Apr 2015
Role in this project:
Back-end Developer & Code Maintainer
Back-end Developer & Code MaintainerContributions:464 commits, 38 PRs, 9 pushes in 1 year 5 months
Contributions summary:Cameron's commits primarily focused on code maintenance, including fixing typos and correcting spelling errors across various tutorial notebooks and source code files within the PyNE project. They also addressed potential memory issues by adding H5close() statements and improving file access properties for cleaner object management. Furthermore, the user contributed to the reliability of the project by adding checks for existing HDF5 files within test scripts and by converting to an automatic variable declaration.
pythonnuclear-engineeringpyneengineeringnuclear
conda-archive/conda-recipes
Dec 2013 - Feb 2015
build and test recipes for conda
Role in this project:Back-end Developer
Back-end DeveloperContributions:9 commits, 1 comment in 1 year 2 months
Contributions summary:Cameron primarily focused on updating recipes and build scripts for conda, a package and environment management system, indicating expertise in build processes and package management. Their contributions include modifying build scripts for the `pyne` package, incorporating staging features, and updating code for the `pystan` recipe. The user also integrated an upstream merge and used the latest stable release, maintaining and updating packages.
recipespythoncondasetuptoolsanaconda
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