Data Scientist

Do you like big data? Like really big data? Like multi-terabyte data sets with billions of rows? Do you like the idea of pulling, pushing, slicing and dicing this data in real-time using Hadoop, Hbase, Hive and more? Now let’s add some intelligence to the mix using machine learning, data mining and predictive analytics and shazam - you have the underpinnings of our organization. We are a highly motivated group of Big Data Geeks, Data Scientists and Applications Engineers, working in small agile group to solve sophisticated and high impact problems. We are building smart data systems that ingest, model and analyze massive flow of data from online, social, mobile and offline commerce/user activity to set key business attributes for millions of products in real time. We use cutting edge machine learning, data mining and optimization algorithms underneath it all to analyze all this data on top of Hadoop/HBase/Hive.

- We then build compelling data visualizations and interactive dashboards to showcase our work internally and externally. Your work will be immediately visible to millions of people and you will have a direct impact on the business goals of Fortune #1 company. If you talk, speak and think data we want to talk to you. Come join our small team and be part of the journey from the beginning.

= We processes billions of queries for millions of products on our sites and apps worldwide. We mine structured and semi-structured data from product catalogs, social web, transactions, query logs, etc. at an unprecedented scale. We work on big data problems, cutting edge relevance algorithms from information retrieval, machine learning, and ranking to deliver a high-availability, low-latency service, which directly impacts business metrics.

If you’re passionate about asking and answering questions in large datasets and you are able to communicate that passion to product and engineering teams, we want to hear from you!

Requirements:

- Minimum BA/BS degree in Statistics, Math, Physics, Computer Science or related quantitative degree

- MS/PhD preferred

- Extensive experience with analytical and quantitative problem solving

- Experience with analysis tool(s) such as R, Matlab, or SAS

- Fluency with at least one scripting language such as Python

- Familiarity with relational databases and SQL

- Comfortable working in a Unix environment