PhD physicist with over 10 years of experience in scientific data analysis. As a data scientist I use statistical and machine learning models to predict future value of assets, recommend products, predict conversion likelihood, detect fraud and ultimately optimize return-on-investment. I partner closely with other scientists, engineers, business analysts, sales professionals and senior executives to design, prove out and implement solutions at scale. As an academic I used statistical models to measure galaxy clusters' dark matter content and distance from Earth for the purpose of better understanding the abundance of dark matter and dark energy in our universe as a whole. Academic publications: http://bit.ly/FWHighArxiv http://bit.ly/FWHighPubs

Senior Data Scientist @ From October 2014 to Present (1 year 1 month) Los Angeles, CADirector of Data Science @ Deliver big data machine learning predictions to enterprise clients in real-time and batch mode. Stack includes Java, Python, Ruby and R on Hadoop, Storm and Spark architectures. Applications include personalization, retargeting, prospecting, document classification, fraud detection, financial engineering and ROI maximization in the programmatic advertising and finance spaces. Meet with clients to define business goals and spec out systems. Manage team of three data scientists. From August 2014 to October 2014 (3 months) New York, NYSenior Data Scientist @ Deliver big data machine learning predictions to enterprise clients in real-time and batch mode. Stack includes Java, Python, Ruby and R on Hadoop, Storm and Spark architectures. Applications include personalization, retargeting, prospecting, document classification, fraud detection, financial engineering and ROI maximization in the programmatic advertising and finance spaces. Meet with clients to define business goals and spec out systems. From August 2013 to July 2014 (1 year) New York, NYSenior Data Scientist @ Consulted on data science and big data analytics with the Agile Analytics practice at ThoughtWorks. From February 2013 to July 2013 (6 months) Chicago, ILPostdoctoral Research Scientist @ Project lead for the South Pole Telescope team's galaxy-cluster gravitational lensing measurements. From July 2010 to February 2013 (2 years 8 months) Greater Chicago AreaAssociate Fellow @ Project lead for the South Pole Telescope team's galaxy-cluster gravitational lensing measurements. From July 2010 to February 2013 (2 years 8 months) Research Assistant @ Performed research toward PhD. From September 2005 to June 2010 (4 years 10 months) Research Assistant @ Simulated images for Shear Testing Program (STEP) to optimize pixel size for space telescope satellite surveys of weak gravitational lensing. From January 2005 to September 2005 (9 months) Summer Undergraduate Research Fellow @ Simulated CCD images on Department of Energy distributed computing grids using Perl and IDL. Used simulations to optimize pixel sizes for space telescope satellite missions that specialize in dark energy studies. From May 2004 to September 2004 (5 months) Research Apprentice @ Performed honors thesis research. From 2003 to 2004 (1 year) Engineer @ Programmed satellite scheduling software in C++. From July 2003 to October 2003 (4 months)

PhD, Physics @ Harvard UniversityBA, highest honors, Physics @ University of California, Berkeley William High is skilled in: Research, Team Leadership, Grant Writing, Data Management, Data Analysis, Physics, Astronomy, Astrophysics, University Teaching, Simulations, Mentoring, Technical Writing, Public Speaking, R, Python, Perl, MySQL, IDL, Matlab, Mathematica, Unix, Linux, LaTeX, CVS, Version Control SVN, Git, Scientific Computing, C++, Mathematical Modeling, Image Processing, Java, Big Data, Algorithms, Statistics, Numerical Analysis, Software Engineering, Monte Carlo Simulation, Machine Learning, Science, Distributed Systems, Data Mining