MODERN DATA SCIENTIST
Data Scientist. the sexiest job of the 21th century, requires a mixture of multidisciplinary skills ranging from an intersection of mathematics, statistics, computer science, communication and business. Finding a data scientist is hard. Finding people who understand who a data scientist is. is equally hard. So here is a little cheat sheet on who the modern data scientist really is.
Data Science
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MATH & STATISTICS
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Machine learning
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Statistical modeling
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Experiment design
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Bayesian Inference
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Supervised learning: decision trees, random forests. logistic regression
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Unsupervised learning: clustering. dimensionality reduction
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Optimization; gradient descent and variants
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DOMAIN KNOWLEDGE & SOFT SKILLS
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Passionate about the business
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Curious about data
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Influence without authority
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Hacker mindset
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Problem solver
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Strategic, proactive. Creative. innovative and collaborative
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PROGRAMMING & DATABASE
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Computer science fundamentals
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Scripting language e.g. Python
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Statistical computing package, e.g. R
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Databases; SOL and NOSOL
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Relational algebra
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Parallel databases and parallel query processing
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MapReduce concepts
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Hadoop and Hive/Pig
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Custom reducers
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Experience with xaaS like AWS
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COMMUNICATION & VISUALIZATION
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Able to engage with senior management
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Story telling skills
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Translate data-driven insights into decisions and actions
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Visual art design
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R packages like ggplot or lattice
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Knowledge of any of visualization tools e.g. Flare, D3js, Tableau
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