Data Scientists

Greenplum, a division of EMC, is setting the pace in the database/data warehousing space. Building the world's largest Data Warehouses, Greenplum is committed to pioneering massively parallel data-intensive analytic processing on structured and unstructured types of data. We are looking for 5 talented individuals to join our EMEA analytics team, which is developing a fundamentally new approach to how business generates meaning, and then value, from data.

This team will develop new methodologies and tools to enable advanced modeling and statistical analysis against petabyte-scale data sets.  We are growing and providing leading-edge solutions to major companies in the industry. Our Data Scientists will work with prospects and customers to prove the analytical capabilities of Greenplum’s technology in generating business insights from big data. They will seek to understand our customers’ most urgent questions, and use statistical methods and models to provide answers, either as part of pre-sales proofs-of-concept or as a paid engagement. The Data Scientists will develop new practices and methodologies for working with the Greenplum data technologies, often working closely with leading academics and industry experts. They will also work with engineers to create new tools and features that support sophisticated analytics within the database.

Requirements

The successful candidates will possess:

•  Strong statistical foundation, with broad knowledge of deterministic and probabilistic statistical methods.

•  Broad experience across numerous statistical toolkits, including: SAS, R, SPSS, Matlab, Mahout/MADLib.

•  Programming strength in a variety of languages: SQL, C/C++, Java, Python, Perl.

•  Optional programming strength in the following Hadoop tools: MapReduce, Pig, Hive, Hbase.

•  Initial understanding of the nature of the data available in one vertical/horizontal market, familiarity with typical analytics projects involved in the market, and higher level awareness of business trends in the same.

•  Natural ability to communicate basic and complex quantitative concepts clearly.

•  Natural curiosity to research and identify possible quantitative solutions to common business problems.

•  Team-oriented and collaborative nature, while also able to work in a self-directed manner.

•  Innate customer orientation, with a proactive focus on collaborative problem-solving.

•  Solid knowledge foundation for technical concepts, including distributed computing, database architectures, business intelligence, and ETL processes.