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Ask DT: How to excel in interviews?
9 points by thelittlec 3223 days ago | 2 comments
I'm a recent graduate with about a years worth of experience looking to move on from my company (not a lot of work and I want to move away from consulting). I've been getting final rounds for Data Analyst positions but I'm not excelling in them. I have had 0 offers. I've had a final round where it was cut short (no offer sign).

Is there any interview tips that DT could help me with? What do you think I am doing wrong?



8 points by alexeygrigorev 3222 days ago | link

Here's a list of links that may or may not help:

http://www.quora.com/What-is-a-typical-data-scientist-interv...

http://www.quora.com/What-are-the-interview-questions-on-reg...

http://www.quora.com/How-should-I-prepare-for-statistics-que...

http://www.quora.com/A-B-Testing/What-kind-of-A-B-testing-qu...

http://www.quora.com/What-are-20-questions-to-detect-fake-da...

http://www.quora.com/What-are-some-common-Machine-Learning-i...

http://www.quora.com/What-are-the-best-interview-questions-t...

http://www.quora.com/Data-Science/How-should-I-prepare-for-s...

http://stats.stackexchange.com/questions/5465/statistics-int...

http://www.reddit.com/r/datascience/comments/2nhb4k/what_int...

http://www.reddit.com/r/statistics/comments/310h76/i_have_an...

http://blog.udacity.com/2015/04/data-science-interview-quest...

http://alyaabbott.wordpress.com/2014/10/01/how-to-ace-a-data...

http://www.marketingdistillery.com/2014/09/03/how-to-success...

http://www.edureka.co/blog/frequently-asked-data-science-int...

http://www.galvanize.it/blog/how-to-nail-a-data-science-inte...

http://analyticsindiamag.com/common-analytics-interview-ques...

http://www.datasciencecentral.com/profiles/blogs/66-job-inte...

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3 points by roycoding 3223 days ago | link

No idea what your situation is, but I will mention a couple things that I have seen as both a job seeker and an interviewer for data science positions:

1. A lot of companies don't really know what type of data person they want or how to advertize for what they want. For example, they may have an ad for a data scientist that covers all possible skills: Hadoop, R, Hive, Spark, D3, SQL, machine learning, Bayesian stats, Java, Python, etc., but they really just need someone to do business analytics (mostly exploratory analysis and reports). Or they really need a data engineer...

2. A lot of companies don't know how to assess data science candidates. Most companies that are clueless either assess you as they would a software developer (testing you on sorting algorithms, big O, etc) or as a DB person.

3. There are lots of people looking for data science positions and they have a very broad range of skills. This means that while you might be a perfectly good candidate for some data science positions, you might not be a very good fit for the one any given company is looking for. And they have many people to choose from.

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