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| Job Location | Delhi |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | Medical / Healthcare |
| Functional Area | Statistics / AnalyticsGeneral / Other Software |
| EmploymentType | Full-time |
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 AreYou cut your baby teeth on Bayesian modeling and Markov chainsYou love the idea of working at a startup-within-a-startupYou are curious enough to always want to dig deeperYou dream of applying machine learning to everyday tasksYou never wait for someone else to ask why You drive others crazy with how open-minded you areYour imagination knows no bounds when it comes to slicing and dicing complex problems and data setsYou are strongly opinionated on what makes for great software skills, and love playing devil s advocateYou believe every experience, good or bad, is an opportunity to growYou are convinced that the best use of experience is to leverage it to learn moreYou are a natural-born leaderYou know how to prioritizeYou are analytically curiousYou still like to play Where s Waldo on occasion to test your awesome pattern-recognition skillsThere s always methodology to your madnessYou know that numbers tell a good storySpock is your favorite Star Trek characterWhat You Want From Your Next Career MoveTo 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 achievedBS / 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),
Keyskills :
machinelearning python dataanalysis sql analytics timeseriesanalysis structuralequationmodeling timeseries markovchains fact analysis clusteranalysis commercialmodels temresponsethe decisionanalysi