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Hadoop Engineer

at MyBuys in Redwood City, CA   —   Jun 27, 2014   |  
MyBuys is the leader provider in Cross-Channel Personalization. The company builds deep profiles based on each individual shopper's behavior, and then uses a patented portfolio of algorithms and real-time optimization to deliver the most relevant recommendations via on site, email, display advertising, mobile, and Facebook. MyBuys' clients are increasing engagement by over 100% across channels, average order value by 45%, conversion rates by 90%, and boosting overall online revenue 10-30%. Over 300 retailers, including more than 70% of the Internet Retailer Top 500, partner with MyBuys to offer intelligent, personalized recommendations to their shoppers.

We're a well funded startup in Redwood City, CA, with a growing business, a working business model and a small but seasoned engineering team. We’re changing the way the world thinks about multi-channel personalization in display advertising, product recommendations, and targeted email marketing programs and we are looking for talented engineers to help us take it to the next level.

This is key member of engineering team with deep experience building scalable distributed data solutions using Hadoop. You will be tapping into our multi-terabyte, highly actionable data set on consumer shopping behavior, and will be driving solutions to improve the way we target consumers with the most relevant products and offers, track & report on the results, leverage it to build detailed profiles, and do data analysis to test out new ideas.
Hands on technical role; contribute to all phases of the software development lifecycle, including the analysis, architecture, design, implementation, and QA
Collaboration on requirements; work with the Engineering, Product Management and Client Success teams to define features to help improve results for our customers and ourselves alike
Partner with our Data Mining and Analytics team to do analysis, build predictive models & optimization algorithms, and run experiments
Work closely with Operations/IT to assist with requirements and design of Hadoop clusters to handle very large scale; help with troubleshooting operations issues
Qualified individuals will have a solid background in the fundamentals of computer science, distributed computing, large scale data processing as well as mastery of database designs and data warehousing. We’re looking for individuals with a high degree of self motivation, an unwavering commitment to excellence, excellent work ethic, positive attitude, and is fun to work with.
Expertise in building massively scalable distributed data processing solutions with Hadoop, HBase, Cascading, Hive, & Pig
Deep experience with distributed systems, large scale non-relational data stores, map-reduce systems, data modeling, database performance, and multi-terabyte data warehouses
6+ years hands on Java experience building scalable solutions
Domain experience in one or more of the following:
Display Advertising, Behavioral Ad Networks
Recommendation Engines, Personalization
Data Analytics, Data mining, Predictive Modeling
Because we are a small team, your ability to communicate technical ideas effectively, in oral and written forms, and solve complex problems in a team environment is essential
Requires a B.Sc. / M.Sc. in Computer Science
Market Rate Salary + Stock Options
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