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How I Did It: From Psych Degree to VP of Data Science at Top Startup

153 点作者 gczh大约 5 年前

17 条评论

dx87大约 5 年前
When I was doing a cyber training exercise in the military, we had an Air Force general tell us that the best technical officers they had started out with non-technical degrees. They said that officers with undergrad degrees in things like IT, Software Engineering, and Computer Science, weren't very good at thinking outside of the box because everything they did was fairly low level and had a provably correct solution. The officers with degrees like psychology and political science were better at taking in large amounts of information, and deducing a "best" answer to a problem that didn't have a "correct" answer. I noticed the same thing when I started teaching after I got out of the military; people with technical backgrounds wanted a checklist to follow, and didn't really care about the end result as long as the steps were followed. Non-technical students would look at what the result should be, and do whatever was necessary, creating their own checklist as they went along.
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quietthrow大约 5 年前
VP at a top startup mean very different things to different people. To somebody who values sr titles it’s Substantial. To somebody who views titles as a measure of how much and what you contribute will only view this as substantial in the context of where you operate - VP of the lemonade stand vs VP at a large company (by revenue,employees etc). Most of the experienced crowd on this site will generally take the latter view. Most of the young/fresh grad kind of people on this site will take the former view. As for yourself I would suggest you measure yourself by impact and not title.
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levanify大约 5 年前
Awesome post! Thank you for taking the time to document down your learnings along your journey of pursuing data science. What I really like about your journey is how one thing manages to lead to another in the most amazing way. Some people attribute it to luck, but I guess in your case you really have made your own luck by taking actions to move towards your goal! Congratulations on your accomplishments thus far! I just have a few questions which would love if you can elaborate further on.<p>Firstly, it seems to me that the online course enabled you to reach top 3% of a Kaggle project which led to a series of career opportunities. However, I believe that being able to reach the top in Kaggle competition is not an easy feat. This kind of process is not really replicable especially for the people who are just starting out in Data Science. In that case, what would you recommend them to do?<p>And secondly, what is the end goal of a data scientist or at least for you as a data scientist? Would it be going into research? Continue to climb the ladder till you reach the top of the company? Data science and engineering in general are great as a form of intellectual challenge. However, personally sometimes I feel that there is a lack of meaning in the thing that I am doing as engineer&#x2F;data scientist (especially if the culture of the company is very bottom-line driven). Just want to hear your thoughts! :)
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zachwill大约 5 年前
Awesome work, Eugene!<p>I had almost the exact same experience going from a psychology degree, to coding in SF, to heading up analytics for the Trail Blazers. Luck, self-study, and Kaggle! Really cool to hear that someone else also took the psychology to data analysis route.
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omarhaneef大约 5 年前
One of the interesting aspects of this account is the role of online classes (Coursera and edX).<p>I always thought that those kinds of things are useful and should be effective but (online) anecdotes suggest they are not. Seems like there is a missing step and the author was able to find that step. (Branded company work?)
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euix大约 5 年前
Its often the case that less technically minded people move into management.
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zcw100大约 5 年前
Ok, this is shameless self promotion masquerading as a casual, &quot;Hey I&#x27;ve got an interesting story&quot;. I notice that he conveniently left out the part where Alibaba promoted him to VP, Data Science at the same time he started an MSc at Georga Tech which he completed in two years which is an impressive thing to do while you&#x27;re working so I suspect there is more to the story. If working in NYC has taught me anything, always be promoting yourself while simultaneously putting everyone else down. &quot;I guess I just worked harder and smarter than all those PhD&#x27;s around me&quot;.
creddit大约 5 年前
According to his LI, he was a VP at Lazada for 1yr and then became a senior data scientist at another company.
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azizsaya大约 5 年前
Fabulous post but this caught my attention: &quot;The learning curve was steep. Pushed me 2x beyond my existing abilities. Exhilarating.&quot;<p>What is meant by “steep learning curve”? <a href="https:&#x2F;&#x2F;english.stackexchange.com&#x2F;questions&#x2F;6209&#x2F;what-is-meant-by-steep-learning-curve" rel="nofollow">https:&#x2F;&#x2F;english.stackexchange.com&#x2F;questions&#x2F;6209&#x2F;what-is-mea...</a><p>I don&#x27;t mean to be rude, just that it is interesting.
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ahuth大约 5 年前
Curious how the author got better at communication. What are good resources or books for doing so?
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runawaybottle大约 5 年前
How is this new? Non tech people have been running tech people for quite some time.
tuananh大约 5 年前
very inspring story. thanks for sharing.<p>i experience many things similar with yours.<p>- progress plateau is scary. whenever i experience this, I try very hard to get out of it.<p>&gt; I needed practice too. The data team wanted to launch an internal newsletter to spread awareness—I volunteered. Someone had to visit overseas markets to do a data science roadshow—I volunteered. We wanted to present our work at conferences—I volunteered.<p>this is where I&#x27;m currently at.
lonelappde大约 5 年前
This self promotion boast blog posts says nothing. Most data science people are self taught and don&#x27;t study &quot;data science&quot; in college.
mettamage大约 5 年前
Key lessons that I&#x27;m picking up:<p>&gt; <i>In year two I was internally transferred to the workforce analytics team, working to forecast job demand and build a job recommendation engine to move people within the organization.</i><p>I&#x27;m hearing this a lot from friends.<p>&gt; <i>On the side, I continued self-learning. I picked up Python (love it) and took classes in machine learning. Spark, a shiny (pun intended) big data framework was emerging and provided free courses on EdX—I devoured these too.</i><p>I&#x27;m currently noticing this myself. I&#x27;m devouring content on Hack The Box. I&#x27;m currently making 16 hour days and am at 200+ hours within 2 weeks, and devoured half of their active boxes.<p>You don&#x27;t need a background once you have 16 hour per day (every day) determination. There are people who need more than sheer determination, but enough don&#x27;t. They simply need Elon Musk level determination.<p>&gt; <i>They were struggling with accurate product categorization and had heard about my sharing on the Kaggle competition.</i><p>Use the right status symbols. It used to be university, now it is being at the top of a competition.<p>&gt; <i>My family and closest friends thought it was risky. However, deep down, I knew I would regret not accepting the offer.</i><p>A potential pitfall that he avoided. I&#x27;ve been heavily hit by this and kind of stalled my life for a year. So yea, he could&#x27;ve listened to them. I know I shouldn&#x27;t have, but I did. He didn&#x27;t and pushed forward.<p>&gt; <i>The failure and embarrassment was very public. But so was the recovery and success.</i><p>One that I know from my personal circles: go to a public embarrassment that isn&#x27;t yours and no one dares to touch and make it into a success. It&#x27;s not easy to do but if you can do it, then do it, in the right company this will transform your life. Or at least, it transformed the lives that I know of whom did it. They didn&#x27;t do it consciously though, it&#x27;s upon reflection that they realize.<p>&gt; <i>But once in the field, there were PhDs with more experience around me—why did I get promoted above them?</i><p>When I read this I&#x27;m simply thinking that he didn&#x27;t get promoted <i>above</i> them. Being a VP is something different, I imagine, than being a data scientist, so different skills are at play. Yes, you need technical competence but you also need VP skills. Let&#x27;s see what he says.<p>&gt; <i>The measurable value I created was 3x that of an average data scientist.</i><p>Well, he could also communicate that. Could the avg data scientist do that? I don&#x27;t know, I bet half of them couldn&#x27;t or wouldn&#x27;t care.<p>&gt; <i>I was promoted to be a role model and to mentor the team to deliver and communicate better.</i><p>Like I said, VP skills.<p>-----<p>To close:<p>I think he&#x27;s right in his assessment, simply by looking at my successful friends, family and acquaintances and by constantly asking what they do.<p>I&#x27;d summarize his success as:<p>A) Get in (I&#x27;m struggling super hard at this part, &quot;you can problem solve but have too little experience&quot; is what I get, it&#x27;s depressive, it&#x27;s a key stage)<p>B) Create trust with <i>everyone</i><p>C) Be the best pick for the new position out of your team<p>From those key stages one can distill that technical skill is initially important and communication later.<p>-----<p>If anyone wants to hire me as a mix between a hacker and programmer anywhere in the world let me know! I have 1 year of work experience in software engineering (excluding the bootcamp I taught for a year). My Hack The Box profile is looking to be more impressive every day.
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dot1x大约 5 年前
Did being asian had anything to do with this?
NadavKeyson大约 5 年前
inspiring!
brenden2大约 5 年前
Getting to VP level at a &quot;top startup&quot; has little to do with data science, and everything to do with your ability to play the networking game. Depending on the size of the company, VP level jobs are more about management skills than technical proficiency.
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