Data and Analytics Engineer

About Scribd:
http://www.scribd.com

Scribd is a San Francisco startup backed by top investors including Redpoint Ventures, the Kinsey Hills Group, Y Combinator and a handful of Silicon Valley's most prestigious angel investors. We are changing the way people share documents online. Since Scribd launched in March 2007, it has become one of the top 500 websites on the Internet, receiving over 20 million monthly visitors. According to the Rails 100 list of the the most trafficked rails websites, Scribd is the largest rails website in the world:

http://rails100.pbwiki.com/Alexa+Rankings.

Scribd created iPaper, the first document format built for the web. Like YouTube's player did for video formats, iPaper standardizes all document formats into one viewer that can be seamlessly integrated into webpages. Through Scribd.com, iPaper and the Scribd platform, Scribd is changing the say people view, publish and monetize documents. Through our vast library of content and our unique document display technology, we hope to unlock the information in the world's documents and make it readily accessible to everyone!

We are located in the heart of downtown San Francisco, close to CalTrain, BART and MUNI. Our small team is passionate, talented, motivated and fun. You'll often find us holding group brainstorming sessions, eating lunch and dinner as a team, playing winner-take-all ping-pong games and celebrating our successes along the way. We offer competitive salaries, benefits, generous equity stakes and free food from local restaurants.

The job:

Do you love data? Scribd needs a rock-star developer with strong quantitative skills to help us analyze the huge volume of data we’ve created. As our analytics expert, you will look for patterns in existing data, use A/B testing to optimize Scribd products, build scalable infrastructure to analyze terabytes of data, generate and implement your own ideas for increasing key metrics, and have a direct impact on company revenue.

The ideal profile:

We are looking for someone who combines a strong engineering background with highly-developed quantitative skills. Demonstrated experience in a similar role analyzing user data or optimizing online ads would be ideal. This is a role for someone who is intensely curious and self-motivated.

Responsibilities:

Use extensive A/B testing to improve key metrics on Scribd. Optimize ads on Scribd using multiple techniques. Analyze traffic data in Google analytics to guide business decisions. Build custom analytics infrastructure and reporting tools to look deeper into traffic data. Generate and implement ideas for ad optimization and search engine optimization.

This position reports to the CTO.

* Ruby on Rails experience, preferred
* Strong SQL knowledge, required
* Strong quantitative skills, preferably academic background in statistics
* Degree in quantitative field, such as CS or Math, required
* Experience building web-scale infrastructure
* Experience with website analytics and optimization a big plus
* Experience with Internet ads and ad optimization a big plus
* Love of exploring data – you should love Excel as much as we do
* 2+ years of experience in software development / data mining
* Ability to manage your time effectively and work on many different projects simultaneously