Data Scientist

As Data Scientist eager to jump into brand new learning experiences, you?ll have fun analyzing complex, massive data sets. If this sounds like you, please read on! Who You Are You cut your baby teeth on Bayesian modeling and Markov chains You love the idea of working at a startup-within-a-startup You are curious enough to always want to dig deeper You dream of applying machine learning to everyday tasks You never wait for someone else to ask ?why?? You drive others crazy with how open-minded you are Your imagination knows no bounds when it comes to slicing and dicing complex problems and data sets You are strongly opinionated on what makes for great software skills, and love playing devil?s advocate You believe every experience, good or bad, is an opportunity to grow You are convinced that the best use of experience is to leverage it to learn more You are a natural-born leader You know how to prioritize You are analytically curious You still like to play ?Where?s Waldo?? on occasion to test your awesome pattern-recognition skills There?s always methodology to your madness You know that numbers tell a good story Spock is your favorite Star Trek character What You Want From Your Next Career Move To change the world using your skills in solving analytical problems. To learn. To perform data analyses on massive data sets, at scale. To manage the data demands of a company with a heart. What you?ve achieved BS / MS / PhD in a quantitative discipline (applied mathematics, statistics, CS, OR, or related field) 5+ years of experience using quantitative approaches to solve challenging and meaningful analytical problems (or equivalent) Proficiency in programming and the use of analytic tools to perform rapid design, prototyping, analysis, simulation of, and experimentation with, advanced algorithms and applications (such as Matlab / Mathematica, Java, Ruby, Python, and experience in various relational and non-relational databases) Solid grounding in applied mathematics and statistics including expertise in Bayesian modeling, multivariate regression, logistic regression, machine learning, cluster analysis, decision analysis, time series analysis and forecasting, factor analysis, structural equation modeling, item response theory, Markov chains, and data visualization (preferred) Startup or equivalent experience (preferred) and the drive to live the dream (required)