I am a generalist / full-stack data scientist with 16 years' full-time experience in academia and industry. I wrote one of the first major published reviews of data mining and machine learning in astrophysics in 2010 and my research publications in that field total 1288 citations as of September 2020. In industry, I worked on multiple customer projects totaling several million dollars revenue, and on a large number of product-oriented data science contributions to machine learning platforms, including the successful exit of the startup company Skytree. In my last job at Dotscience I was Principal Data Scientist, leading both that function within the company, and owning the product roadmap.
My differentiators are combining technical expertise with communicating results to all audiences (data science, product, engineering, business, and non-technical), and the cumulative value to a group of my end-to-end data science experience combined with working cross-functionally with product, engineering, sales, and marketing.
Remote: Open to it, or Bay Area Office
Willing to relocate: No (family)
Technologies: C, H2O, MATLAB, machine learning, PySpark, Python, shell, SQL, TensorFlow
LinkedIn: https://www.linkedin.com/in/nickballdatascientist
Website: https://nickballdatascience.com
Résumé/CV: https://nickballdatascience.com/resume
Email: nick at nickballdatascience.com
I am a generalist / full-stack data scientist with 16 years' full-time experience in academia and industry. I wrote one of the first major published reviews of data mining and machine learning in astrophysics in 2010 and my research publications in that field total 1288 citations as of September 2020. In industry, I worked on multiple customer projects totaling several million dollars revenue, and on a large number of product-oriented data science contributions to machine learning platforms, including the successful exit of the startup company Skytree. In my last job at Dotscience I was Principal Data Scientist, leading both that function within the company, and owning the product roadmap.
My differentiators are combining technical expertise with communicating results to all audiences (data science, product, engineering, business, and non-technical), and the cumulative value to a group of my end-to-end data science experience combined with working cross-functionally with product, engineering, sales, and marketing.