Scribd (YC S'06) is looking for an engineer who loves data and is interested in being the first dedicated data scientist or growth hacker at a startup. We have a ton of traffic (top 100 website, 200M registered users), a huge dataset (over 100M user contributed documents), and a strong willingness to be experimental. It's basically a playground for growth hacking and data mining.
We have seen huge gains from growth hacking experiments we have done already, but we know there is a ton of low-hanging fruit optimization waiting to be unlocked. Some of the ideas we want to explore are: content classification algorithms, deriving quality scores from user interaction data, natural language processing for user queries, recommendation algorithms, and all kinds of funnel, UI and policy optimizations.
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Who you are
You are an experienced developer with a strong business and product sense. You're highly analytical, can write complex SQL easily, and get a thrill out of watching metrics go up (we certainly do!). You can write both prototypes and production ready code, and have excellent technical judgement about when to do each.
You should have
* Solid development skills in some programming language
* Strong analytics skills, including high levels of comfort with databases
* Growth / data hacker's mindset
Other things you could bring to the table
* Data mining, machine learning, and / or NLP knowledge
* Knowledge of SEO and SEM
* eCommerce, online payments, and purchase funnels
* Web development skills
* Experience optimizing large-scale websites
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Contact us
General info about Scribd is at http://www.scribd.com/jobs. We are building the world's online library and are in the SOMA area of San Francisco with a team of about 40 and a fun, startupy culture.
We're happy to talk more about the role. If you're interested, get in touch at jobs@scribd.com - this goes directly to us.
