b********y
发帖数: 559 | 1 组里在招人，position具体看下面，地点mountain view.希望找统计背景强的和有丰富
的数据分析经验的，不是SDE 所以coding要求不是很高。
我会先大概进行下筛选再帮忙refer。感兴趣的简历请发到 jobhunting.mitbbs.8637@
gmail.com 并发站内信给我。
https://www.google.com/about/careers/search#!t=jo&jid=43148&
As a Statistician/Engineering Analyst, you will evaluate and improve Google'
s products, such as Ads and Search. You will collaborate with a multi-
disciplinary team of engineers and analysts on a wide range of problems.
This position will bring analytical rigor and statistical methods to the
challenges of measuring Search and Ads quality, improving consumer products,
and understanding the behavior of end-users, advertisers, and publishers.
Please note that this position is the same as Data Scientist.
Responsibilities
Research and develop methods for measuring and analyzing ads quality.
Research new algorithms and methods for optimizing ads quality and revenue.
Research new ways for modeling end user behavior through quant analysis.
Lead investigations into multiple streams of ads quality data.
Design experiments to answer targeted questions.
Minimum qualifications
MS in Computer Science or Statistics or equivalent practical experience.
2 years experience in data analysis or related field.
Experience with statistical software (R, S-Plus, SAS, or similar).
Experience with databases and scripting languages (such as Python).
Preferred qualifications
PhD in Computer Science or Statistics
Demonstrated leadership and self-direction.
Ability to draw conclusions from data and recommend actions.
Demonstrated willingness to both teach others and learn new techniques. | p***0
发帖数: 233 | | g*****g
发帖数: 212 | | b********y
发帖数: 559 | | e*******s
发帖数: 1979 | 5 能推荐点材料复习一下么
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/* ]]> */
8637@
【在 b********y 的大作中提到】
: up
| c*****l
发帖数: 739 | | d***e
发帖数: 193 | 7 我面了这个职位，已经悲剧了，只能说准备的不够充分了，提供点面经，造福以后面试
的人吧。
很多人说G家统计方向的职位都是问很基础的统计知识，但是我被问了time series的东
西，都有哪些models，怎么比较这些models？还问了experimental design的问题，如
果variables有numerical和categorical的，怎么在X和Y轴表示出来。还有logistic
regression的题目，怎么check model，logistic regression和其他的classification
methods有何不同。
(function(){try{var s,a,i,j,r,c,l,b=document.getElementsByTagName("script");l=b[b.length-1].previousSibling;a=l.getAttribute('data-cfemail');if(a){s='';r=parseInt(a.substr(0,2),16);for(j=2;a.length-j;j+=2){c=parseInt(a.substr(j,2),16)^r;s+=String.fromCharCode(c);}s=document.createTextNode(s);l.parentNode.replaceChild(s,l);}}catch(e){}})();
/* ]]> */
8637@
【在 b********y 的大作中提到】
: up
| p***0
发帖数: 233 | 8 请问你是因为有time series和experimental design的经验或相关课程吗？
logistic model的basic倒是真的必问。。
我面了这个职位，已经悲剧了，只能说准备的不够充分了，提供点面经，造福以后面试
的人吧。很多人说G家统计方向的职位都是问很基础的统计知识，但是我被问了time
series的东西，........
【在 d***e 的大作中提到】
: 我面了这个职位，已经悲剧了，只能说准备的不够充分了，提供点面经，造福以后面试
: 的人吧。
: 很多人说G家统计方向的职位都是问很基础的统计知识，但是我被问了time series的东
: 西，都有哪些models，怎么比较这些models？还问了experimental design的问题，如
: 果variables有numerical和categorical的，怎么在X和Y轴表示出来。还有logistic
: regression的题目，怎么check model，logistic regression和其他的classification
: methods有何不同。
:
: (function(){try{var s,a,i,j,r,c,l,b=document.getElementsByTagName("script");l=b[b.length-1].previousSibling;a=l.getAttribute('data-cfemail');if(a){s='';r=parseInt(a.substr(0,2),16);for(j=2;a.length-j;j+=2){c=parseInt(a.substr(j,2),16)^r;s+=String.fromCharCode(c);}s=document.createTextNode(s);l.parentNode.replaceChild(s,l);}}catch(e){}})();
: /* ]]> */
| l******n
发帖数: 9344 | 9 这个title没人愿意去，估计salary也会low ball。现在弯曲找ds的公司很多，出了
fresh graduate估计没人去
(function(){try{var s,a,i,j,r,c,l,b=document.getElementsByTagName("script");l=b[b.length-1].previousSibling;a=l.getAttribute('data-cfemail');if(a){s='';r=parseInt(a.substr(0,2),16);for(j=2;a.length-j;j+=2){c=parseInt(a.substr(j,2),16)^r;s+=String.fromCharCode(c);}s=document.createTextNode(s);l.parentNode.replaceChild(s,l);}}catch(e){}})();
/* ]]> */
8637@
【在 b********y 的大作中提到】
: up
| K**H
发帖数: 37 | 10 不知道别瞎bb
【在 l******n 的大作中提到】
: 这个title没人愿意去，估计salary也会low ball。现在弯曲找ds的公司很多，出了
: fresh graduate估计没人去
:
: (function(){try{var s,a,i,j,r,c,l,b=document.getElementsByTagName("script");l=b[b.length-1].previousSibling;a=l.getAttribute('data-cfemail');if(a){s='';r=parseInt(a.substr(0,2),16);for(j=2;a.length-j;j+=2){c=parseInt(a.substr(j,2),16)^r;s+=String.fromCharCode(c);}s=document.createTextNode(s);l.parentNode.replaceChild(s,l);}}catch(e){}})();
: /* ]]> */
: 8637@
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