Joe Mccarthy
Lead Quantitative User Experience Researcher
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolJoe Mccarthy is a senior data science and user experience research leader based in Seattle with 14 years of experience shaping product experiences at scale. As Lead Quantitative User Experience Researcher at Indeed, he analyzes behavioral data and code to find, fix, and prevent broken experiences affecting millions of users, building the bridge between qualitative insights and quantitative signal. His career spans leadership roles in industry and academia, including Director of Analytics and Data Science at Atigeo, Senior Data Scientist at Indeed, and senior teaching roles at the University of Washington, reflecting a strong mix of research, development, and education. He earned a Ph.D. in Computer Science from UMass, an MS from Rensselaer Polytechnic Institute, and a BA in Philosophy from Ripon College, underscoring a penchant for rigorous analysis and interdisciplinary thinking. An active open-source contributor and self-described instigator, connector and evangelist, he maintains Python-for-Data-Science primers and works to ensure Python 3 compatibility for accessible data-science education. Based in Seattle, he continues to champion how technology connects people and technologies, leveraging his breadth of research, product, and leadership experience to drive impactful outcomes.
14 years of coding experience
23 years of employment as a software developer
M.S., Computer Science, M.S., Computer Science at Rensselaer Polytechnic InstitutePh. D., Computer Science, Ph. D., Computer Science at University of MassachusettsB.A,, Philosophy, B.A,, Philosophy at Ripon College
Stackoverflow
1,128reputation
567kreached
9answers
0questions
twitter
top-5%
Github Skills (13)
jupyter-notebook10
python10
data-science10
machine-learning9
ipython9
twitter9
datetime6
formatting6
bash6
math6
tweepy6
numpy6
ubuntu6
Programming languages (2)
Github contributions (5)
gumption/Python_for_Data_Science
Apr 2014 - Jun 2016
A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
Role in this project:
Data Scientist
Data ScientistContributions:10 commits, 1 PR, 16 pushes in 2 years 2 months
Contributions summary:Joe primarily contributed to the project by modifying and updating the primary notebook, "Python_for_Data_Science_all.ipynb". The contributions involved incorporating Python 3 compatibility by importing the `print_function` and `division` features, and fixing related compatibility issues. Further changes included re-running nbconvert on the notebook and removing errant backslashes.
primerpythonsciencedata-sciencelearn-python
gumption/pydata-simpsons
Jul 2017 - Jul 2017
Contributions:8 commits, 6 pushes, 1 branch in 1 day
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