Posted Aug 15, 2016 - Requisition No. 53486
In the financial world, time is money. And Bloomberg is the fastest provider of market data, financial news and electronic trades in an industry where every second counts. We, the Network Infrastructure team, develop systems that manage the distribution of data across Bloomberg's network for various products. Our key focus when building our high-quality distribution algorithms is the real-time monitoring of changing market conditions, loads on distribution servers and network outages.
As a data scientist on our team, you will analyze the efficiency of distribution algorithms and suggest innovative features and enhancements to improve their quality. You will have a unique opportunity to work with product and engineering teams across Bloomberg and devise customized solutions based on their unique needs. You’ll play a key role on the Network Infrastructure team and you will also be part of larger Data Science and Machine Learning community at Bloomberg where you can share your valuable experiences and ideas. Right now, we are using Python and Spark to process data from various datastores such as MS-SQL, HDFS, Cassandra, and Splunk. We are also looking to enrich our analytical stack with data visualization tools, predictive tools for building simulations, and powerful exploratory data tools for identifying patterns.