原文地址：http://bigdata-madesimple.com/what-everybody-ought-to-know-about-data-scientist/
原文很好理解，我備註了中文翻譯在下面，如果翻譯不妥之處，望指正。
A few years ago, The Harvard Business Review hailed the role of data scientist “The sexiest job of the 21st century”. But do you know what it means to be a data scientist? Well, let’s first look into some of the most famous quotes by experts on data science and data scientists.
【幾年前，《哈佛商業評論》稱讚數據科學家是“21世紀最性感的工作”，但是你知道做數據科學家意味着什麼嗎？首先，我們來回顧一些著名的數據科學領域專家和數據科學家的名言】
Data scientists “tend to be “hard scientists”, particularly physicists, rather than computer science majors. Physicists have a strong mathematical background, computing skills, and come from a discipline in which survival depends on getting the most from the data. They have to think about the big picture, the big problem - DJ Patil, VP of Product at RelateIQ
【相比於計算機科學專業（偏軟），數據科學家更傾向於“硬科學”領域，可以是物理學家。物理學傢俱備強硬的數學功底、計算機技能，並且他們的研究內容更多的是依賴數據，需要立足整體來考慮問題】
“They need to find nuggets of truth in data and then explain it to the Business leaders” – Rchard Snee Emc
【他們需要挖掘出數據真相中蘊藏的價值，並能夠對企業決策者做出解釋】
“A data scientist is someone who knows more statistics than a computer scientist and more Computer science than a statistician” – Josh Blumenstock
【數據科學家需要比計算機科學家掌握更多的統計知識，比統計學家掌握更多的計算機技能】
“Data scientist is just a sexed up word for a statistician” – Nate Silver
【“數據科學家”只是一個被刻意渲染的“統計學家”的替代名詞】
“Data scientists are involved with gathering data, massaging it into a tractable form, making it tell its story, and presenting that story to others” – Mike Loukides, VP, O’Reilly Media
【數據科學家就是收集數據，並處理成通俗易懂的形式，讓數據本身說話，並把這些信息傳遞給他人】
“The data scientist was called, only half-jokingly, a caped superhero” – Ben Rooney
【數據科學家曾經被稱爲（半開玩笑地）披着斗篷的超級英雄】
“Think analytically, rigorously, and systematically about a business problem and come up with a solution that leverages the available data” – Michael O’Connell, Sr. Director of Analytics, TIBCO
【利用可獲得的數據，對商業問題進行嚴謹、系統地分析，並提出解決方案】
“Data Scientist = statistician + programmer + coach + storyteller + artist”- Shlomo Aragmon
【數據科學家=統計學家+程序員+教練+講故事的人+藝術家】
“They are half hacker, half analyst, they use data to build products and find insights” – Monica Rogati
【他們是黑客和分析師的結合體。他們使用數據做出產品並提出新見解】
“A data scientist is someone who can obtain, scrub, explore, model and interpret data, blending hacking, statistics and machine learning. Data scientists not only are adept at working with data, but appreciate data itself as a first-class product” – Hillary Mason, Founder at Fast Forward Labs
【數據科學家既懂得數據的獲取、清洗、探索、建模與解釋，也掌握黑客技術、統計學和機器學習。他們不僅擅長與數據打交道，並視數據本身爲高級產品】
Now, here is an interesting diagram from Drew Conway that explains what it really means to be a data scientist:
Check out another simple diagram. This is my own depiction of the entire data science process.
So, what does a data scientist do? In simple terms, a data scientist collects data, cleans it, creates data sets, analyzes them and derives new insights. He tries to predict the future with the data in hand and helps businesses improve their quality of products, services and customer engagements. Better quality means happy customers and better revenue.
These are the three most important qualities every data scientist should have:
A good data scientist knows the right questions to ask
Understands the structure of the data he has
Can interpret it well
In a nutshell, data science is all about asking the right questions and drawing meaningful insights that can lead to right decisions.