Statistician想转型求建议

本科学经济，研究生学统计。毕业后找到了第一份工作是在政府做研究型的statistician，就这样懵懵懂懂做了2年多。现在越发觉得政府的节奏太慢，做的方向太传统（很多survey sampling的内容，每天用sas）。很想跳槽去一些更有意思，更前沿的公司和职位，上学的时候用R很多，慢慢的也在学python。想跳槽的一个原因也有不想再用sas了， 因为觉得如果回国的话，sas比较不容易找工作。有自己申请过consultant, data scientist, data analyst，BI等等各种各样的职位。结果发现好像因为背景的关系，还是做研究的statistician职位对我更感兴趣。有点发愁不知道如何跳出这个圈转型，也不知道哪个方向更适合自己。来地里问问大家伙都有什么建议和想法？

As far as I know, there are quite some solid research projects going on at Mathematica Policy Research and they really value survey statisticians. Other places include RTI and Westat.

One could also consider RAND corporation if one has permanent residency. The pace at RAND should be faster and there are lots of very good applied researchers.

In tech companies, there are a few survey statisticians on the ladder Quantitative UX Researcher working on user experience research, including Google and Facebook. These are the places with fastest pace. Survey Monkey also hires research scientists with master's degrees.

Is the info above relevant?

typical_libra 发表于 2019/10/12 03:02:02
As far as I know, there are quite some solid research projects going on at Mathematica Policy Resear...

感谢回复。确实有得到过mathematica的offer，当时因为要抽签了所以拒了他们的offer。想问一下survey statistician的方向长远发展如何呢？回国也还有潜力吗？

匿名者 发表于 2019-10-12 03:05
感谢回复。确实有得到过mathematica的offer，当时因为要抽签了所以拒了他们的offer。想问一下survey stati ...

The long-term prospect is not something that I could comment on.

I will wait for input from senior professionals.

From my point of view, survey research is not new but actually a useful field. Survey research is changing due to online surveys and opt-in panels nowadays. In the era of 'big data', there is lots of data collected from 'unknown sampling scheme' with detailed information, more specifically, high-dimensional non-probability samples that are subject to selection bias. Post-stratification and raking are not feasible for such data and there are lots of opportunities in using machine learning technuiqes for bias correction.

可以看看很多风控方向

简历上列举一些应用ML的项目