• Experience with TB size (or PB size) datasets
• Experience with diving into messy data, finding insights, and presenting in an easily understood manner
• Experience with information security a big plus
• Excellent understanding of algorithms and data structures for optimization
• Strong problem solving and analytical skills
• Experience with one of programming languages: Python, Java, Ruby, Clojure, etc.
• Experience with one of analysis tools such as R, Matlab, Weka, or similar
• Proven experience in solving challenging technical problems
• Strong written and verbal communication skills;
• Having the ability to query databases and perform statistical analysis;
• Being able to develop or program databases;
• Experience with Bigdata platforms is desirable (Hadoop, Hive, MapReduce, NoSQL, MongoDB etc.)
• Masters or PhD in Machine Learning, Operations Research, Applied Math and/or Statistics.
Data Analyst/Scientist will mine multiple terabytes of data and write analytical software to build risk measurement and threat prediction algorithms. The right person for this role will enjoy diving into messy data, cleaning it, finding powerful insights, presenting them in a compelling way, and writing robust code to automate this process.