- Expertise in Data Mining, Data wrangling, and data munging using one or more of the most commonly used data science tools: R, Python, SAS, SPSS
- Knowledge and experience in Hadoop (map reduce paradigm) etc
- Must be hands-on and must have worked on implementing machine learning and data mining algorithms
- Passion for finding meaning in large data sets and identifying actionable results from this meaning.
- Proven communication skills (both written and verbal) and interpersonal skills
- Experience working with and transforming large data sets
- Understanding of business value and how this relates to actionable results
- Ideal candidates would preferably have a master's degree in computer science, statistics, Operations Research or other analytics related fields/relevant experience
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