Will Cukierski

William Cukierski is a data scientist at Kaggle. He has a bachelor’s degree in physics from Cornell University and a Ph.D. in biomedical engineering from Rutgers University, where he studied applications of machine learning in cancer research. Prior to joining Kaggle, he finished competitively in predictive data competitions on topics ranging from predicting stock movements, to forecasting grocery shopping, to automated essay grading.

Just the basics: refreshingly void of any semblance of big data

Strata Santa Clara session preview on core data science skills

The McKinsey Global Institute forecasts a shortage of over 140,000 data scientists in the U.S. by 2018. I forecast a shortage of 140,000 people to explain to their respective hiring managers that make it Hadoop is not an appropriate articulation of what these people can or should do. If big data is the new bubble, then here’s to the prolonged correct data recession that hopefully follows.

Correct data? Such skills used to be called unsexy names like statistics or scientific experiments, but we now prefer to spice up the job titles (and salaries!) a bit and brand ourselves as data scientists, data storytellers, data prophets, or—if my next promotion comes through—Lord High Chancellor of Data, appointed by the Sovereign on the advice of the Prime Minister to oversee Her Majesty’s Terabytes. Modesty, it sometimes feels, is low on the burgeoning list of big data skills.

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