AVA Data Scientists
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Data Scientist Qualifications and Skills
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Master’s Degree in Statistics, Machine Learning, Data Science, Computer Science, Computer Engineering
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Certifying MOOCS (Coursera, Stanford, etc...) can be a complement
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Solid knowledge in statistics: descriptive analysis (Student’s test, Fisher test, ANOVA, Chi2, etc…), supervised and unsupervised analysis (regressions, CAH, PCAn, K-Means, decision trees, etc...)
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Machine Learning: linear and logistic regressions, discriminant analysis, bagging, boosting, random forests, gradient boosting, neural networks, text mining and topics extraction, etc...
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Deep Knowledge of Python (sklearn, panda, numpy,..), Spark/Scala (Mlib) or R data science libraries
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Big Data: Cassandra is a plus
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Ability to investigate issues and come up with resolutions for large data sets a must
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Comfortable with working with multiple stakeholders in a multi-cultural environment of a global matrix organization with sensitivity and partnering
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Ability to work independently and be a self-starter
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Excellent organizational and communication skills
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High energy, initiative, enthusiasm and persistence. English mandatory (written and verbal)
