BitTorrent is the world’s largest peer-based technology company. We’ve created a globally recognized ecosystem of technology protocols, consumer software, and electronics devices that help people find, share and move digital media. Our technologies are used by hundreds of millions of people around the world and drive between 20% and 40% of global Internet traffic.
We are a profitable, multi-national company that is backed by some of the world's leading investors, including Accel Partners (Facebook, Groupon, Dropbox, AdMob, etc.) and DCM (About.com, Foundry Networks, Sling Media, Clearwire, etc). Our company is lead by a by a team of proven entrepreneurs that have generated billions of dollars in shareholder returns. We're looking for talented and motivated people to join our rapidly growing team.
BitTorrent offers a unique and compelling work environment. We are proponents of the open Internet and we serve one of the largest user demographics in history. We take these responsibilities seriously and hire accordingly. We work with only the brightest engineers and the most talented business people we can find. Everyone on our team is here to do meaningful work with broad reaching impact. We have a fun yet challenging work environment that fosters diversity, creativity and teamwork. Our team members receive industry leading salaries, stock options, premium benefits, and state-of-the-art offices in San Francisco’s SOMA district.
We are looking for an Analytics Engineer to join our analytics group. You will be working on our small in-house hadoop cluster (~100TB) to help make BitTorrent’s products even better for our hundreds of millions of users
Work with the product, engineering, and analytics teams to design and implement metrics
Build and maintain reports for those metrics
Build and maintain automated monitors for both reports and metrics
Ideal candidates will posses a strong combination of the following experience:
2+ years of python or ruby experience
1+ years of experience in an analytical/scientific environment (eg: working on analytics on another product, as a research assistant in a lab, or a degree in a hard science with applied statistics experience)
Experience with distributed version control tools like Git
Experience with any of the following is a plus: Google Analytics, MRJob, GNU R