What is a data scientist?

Having recently graduated from my PhD program in statistics, I had for the last couple of months began searching for work in the field of statistics. Almost every company I considered had a job posting with a job title of " Data Scientist ". In fact, it felt like long gone were the days of seeing job titles of Statistical Scientist or Statistician. Had being a data scientist really replaced what being a statistician was or were the titles synonymous I wondered? Well, most of the qualifications for the jobs felt like things that would qualify under the title of statistician. Most jobs wanted a PhD in statistics ($\checkmark$), most required understanding experimental design ($\checkmark$), linear regression and anova ($\checkmark$), generalized linear models ($\checkmark$), and other multivariate methods such as PCA ($\checkmark$), as well as knowledge in a statistical computing environment such as R or SAS ($\checkmark$). Sounds like a data scientist is really just a code name for statistician. However, every interview I went to started with the question: "So are you familiar with machine learning algorithms?" More often than not, I found myself having to try and answer questions about big data, high performance computing, and topics on neural networks, CART, support vector machines, boosting trees, unsupervised models, etc. Sure I convinced myself that these were all statistical questions at heart, but at the end of every interview I couldn't help but leave feeling like I knew less and less about what a data scientist is. I am a statistician, but am I a data scientist? I work on scientific problems so I must be a scientist! And also I work with data, so I must be a data scientist! And according to Wikipedia, most academics would agree with me ( https://en.wikipedia.org/wiki/Data_science, etc. ) Although use of the term "data science" has exploded in business environments, many academics and journalists see no distinction between data science and statistics. But if