I believe a good data scientist has to be able to translate a real life problem into a mathematical language, solve it, demonstrate a working solution and finally implement and deploy it in a production environment. Technologies and tools: R, Scala, Python, SQL, AWS, Hadoop, Hive, Spark, Scalding, Linux bash scripting, Git, Octave, Mathematica, Excel