原文地址：http://bigdata-madesimple.com/what-everybody-ought-to-know-about-data-scientist/
原文很好理解，我备注了中文翻译在下面，如果翻译不妥之处，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.
【几年前，《哈佛商业评论》称赞数据科学家是“21世纪最性感的工作”，但是你知道做数据科学家意味着什么吗？首先，我们来回顾一些著名的数据科学领域专家和数据科学家的名言】
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
【相比于计算机科学专业（偏软），数据科学家更倾向于“硬科学”领域，可以是物理学家。物理学家具备强硬的数学功底、计算机技能，并且他们的研究内容更多的是依赖数据，需要立足整体来考虑问题】
“They need to find nuggets of truth in data and then explain it to the Business leaders” – Rchard Snee Emc
【他们需要挖掘出数据真相中蕴藏的价值，并能够对企业决策者做出解释】
“A data scientist is someone who knows more statistics than a computer scientist and more Computer science than a statistician” – Josh Blumenstock
【数据科学家需要比计算机科学家掌握更多的统计知识，比统计学家掌握更多的计算机技能】
“Data scientist is just a sexed up word for a statistician” – Nate Silver
【“数据科学家”只是一个被刻意渲染的“统计学家”的替代名词】
“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
【数据科学家就是收集数据，并处理成通俗易懂的形式，让数据本身说话，并把这些信息传递给他人】
“The data scientist was called, only half-jokingly, a caped superhero” – Ben Rooney
【数据科学家曾经被称为（半开玩笑地）披着斗篷的超级英雄】
“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
【利用可获得的数据，对商业问题进行严谨、系统地分析，并提出解决方案】
“Data Scientist = statistician + programmer + coach + storyteller + artist”- Shlomo Aragmon
【数据科学家=统计学家+程序员+教练+讲故事的人+艺术家】
“They are half hacker, half analyst, they use data to build products and find insights” – Monica Rogati
【他们是黑客和分析师的结合体。他们使用数据做出产品并提出新见解】
“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
【数据科学家既懂得数据的获取、清洗、探索、建模与解释，也掌握黑客技术、统计学和机器学习。他们不仅擅长与数据打交道，并视数据本身为高级产品】
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.