How NOT to get a job offer as new grads

Disclaimer: This post represents my personal experience only, and has nothing to do with any organization or group. 

When I was a student, I read tons of articles on how to prepare for job hunting and how to get a job offer. Now, I am sitting on the other side of the table and start to participate in the talent acquisition process myself. This gives me a different perspective on the recruiting process. In particular, how I decide NOT to move forward with a candidate.  Here I am giving a few examples for new grads: how NOT to get a job offer. Follow this list, and you will likely NOT get an offer. So, try not to be a follower.

Non-linearity and local optimum mindset

Time flies. It’s been 7 months since I started to work as a full-time Data Scientist. It sometimes feels much shorter than 7 months: imaging neurons in the laboratory as a graduate student and walking on the stairs in front of Alma mater on campus was just like yesterday. It sometimes feels much longer than that: working is so vastly different from academic study, and I’ve learned so much on so many aspects of data science within this short-long period of time, that my mind and understanding of the industry and the world hardly resembles the graduate student me.

Here I am summarizing a few lessons I learned from work.

Not ready yet…Go!

I officially graduated from Columbia last Tuesday after my PhD thesis defense, and started to work full time immediately in the following week. This is the first week of my transition from academia to industry, and I already experience some culture shock in time management and prioritizing. Learning on the job is not only about the technical details, but also about the pattern of thinking.

PhD转行之路

(更新)写在前面

大概是免责声明吧,这里只是一家之言的心路历程,当然不是说这么做就一定会转行找到工作(那叫鸡汤文学),没有宣扬人人都可以做xx21世纪是xx的世纪,希望大家结合自己的实际情况,多跟业内外的人交流,多了解行业情况,对自己负责,切莫跟风:D

1. 前言

拿到了人生中第一份工作offer!从无到有,从编程小白到数据科学。希望自己的经历能够给其他正在探索职业发展的同学们一点点启发。

May the Force be with you

My internship at Tapad has officially come to an end last week, after I gave a final presentation of my project (see the intro video below). It’s been a very memorable and rewarding summer. I not only learned about the latest technological development and application of machine learning and big data, but also got to experience the industrial work style and start-up culture.

Take the audience on a journey

During my final round interview at Tapad, the VP of Data Science noticed my academic background in neuroscience, and we started to discuss how neuroscience research could contribute to online advertising. Later in the interview, he asked “Have you heard of reinforcement learning (RL)?” And I said no. He explained this reward-guided learning paradigm, which immediately reminded me of my undergraduate research on aversive learning in fruit flies. After the interview, he emailed me the link to RL Courses on YouTube taught by David Silver, the leading scientist of AlphaGo.