Город: Санкт-Петербург
З/п: обсуждается с кандидатом
Опыт работы: Не имеет значения
Отзывы о компании EMC

Building the world's largest multi-technology distributed computing platforms, leveraging massively parallel processing (MPP) database and Hadoop, Greenplum is committed to pioneering data-intensive analytic processing across this integrated technology stack. We are building out an industry-leading Data Science Team that is able to span a wide variety of advanced analytics techniques, open-source tool-kits, partner solutions, and vertically-driven use-cases. This global team develops new methodologies and tools to enable advanced modeling and statistical analysis against petabyte-scale data sets.
 
Global demand for the services Greenplum’s Data Science team provides is spiking, with especially strong demand emerging out of the EMEA region. In response, Greenplum is building out its Data Science presence in the EMEA region, and needs a seasoned leader of advanced analytics initiatives to help drive a well planned build-out. The Greenplum Director of EMEA Analytics Solutions will partner directly with Greenplum’s EMEA regional head to determine the appropriate recruiting, product, and go-to-market strategies to drive the aggressive build-out of a strong in-region Data Science team that is able to meet the demand of customers in the United Kingdom, Germany, France, Middle East, Africa and other critical markets.
 
Similarly, this critical role will help EMEA customers make sense of the new paradigms of in-database analytics, advanced forms of analytics on top of Hadoop, and the breadth of analytical tools available through Greenplum’s Unified Analytics Platform. Working with newly recruited Data Scientists for the region, this role will drive the build-out of vertical-specific use-case demonstrations of predictive models built on UAP. And, this role will facilitate the creation of regional-relevant collateral supporting the Data Science services business.
 
Most importantly, the Director of EMEA Analytics Solutions will partner closely with EMEA Data Scientists to build new sources of data-driven innovation and value for our customers and prospects while proving the analytical capabilities of Greenplum’s technology stack. Together, they will help customers respond to their top-priority business goals by introducing new ways to tap their exploding data assets, combining a robust integrated technology stack and advanced forms of machine learning and data mining.


Responsibilities:
  • Partner directly with EMEA regional leadership and regional field, Greenplum Data Science leadership, and customers/prospects to establish a robust vision for the build-out of EMEA’s Data Science team.
  • While managing existing team members, lead the recruiting and onboarding of a larger EMEA regional Data Science team that addresses vertical and analytical knowledge requirements.
  • Drive evangelization and education of Data Science services to Greenplum’s EMEA sales force, in particular educating the field on how to communicate the vision and value of advanced analytics, how to qualify interested prospects, and how to propose Data Science services.
  • While working with customers and prospects, leverage significant experience directly working with data to define analytics use-cases that address customer requirements for value generation, and partner with Data Scientists to execute on these.
  • Advise customers and prospects on technology and tool selection to best meet their emerging analytics requirements and to best drive value-generation on existing and future data.
  • Lead relationship development and technology evaluation for new prospective regional analytics-centric partnerships.
  • Work directly with customers to educate them on Greenplum’s technologies, analytical use-cases, pros/cons of emerging tools, etc.
  • Assist in customer engagement management, requirements definition, project scoping, timeline management, and results documentation to ensure professional relationship management with regional customers.
  • Travel, as needed, to meet with customers.

Requirements:
  • 5-10 years of experience and a proven passion for generating insights from data, with a strong familiarity with the higher-level trends in data growth, open-source platforms, and public data sets.
  • A proven track record of building the function of data science, analytics as a service, or teams of data miners / machine-learning practitioners
  • 5 to 10 years of experience in managing small to mid-sized teams, preferably in the services functions.
  • Significant experience evangelizing the value of data analytics to broad audiences.
  • At least 3 years of work in a related role within the EMEA region, showing strong understanding of country-level industry players, vertical market trends, and status of data utilization.
  • Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics
  • Experience working with a variety of statistical languages and packages, including R, S-Plus, SAS and Matlab, and/or Mahout
  • Experience working with relational databases and/or distributed computing platforms, and their query interfaces, such as SQL, MapReduce, PIG, and Hive.
  • Preferably, experience working hands-on with large-scale data sets
  • Familiarity with additional programming languages, including Python, Java, and C/C++.
  • Experience leveraging visualization software and techniques (including Tableau), and business intelligence (BI) software, such as Microstrategy, Cognos, Pentaho, etc.
  • Technical knowledge of distributed computing platforms, and common data process flows from data instrumentation & generation, to ETL, to the data warehouse itself.
  • Advanced degree (PhD or Masters) in an analytical or technical field (e.g. applied mathematics, statistics, physics, computer science, operations research)
  • A strong business-orientation, able to select the appropriate complex quantitative methodologies in response to specific business goals
  • A team player, who is excited by and motivated by hard technical challenges
  • Results-driven, self-motivated, self-starter
  • Excellent written, verbal, and presentation skills in English, an additional key language relevant for EMEA would be an asset
  • Ability to travel as-needed to meet with customers, throughout the region.
 
 
Greenplum is setting the pace in the Big Data Analytics space. We are growing rapidly and providing solutions to major companies in the industry. We offer individuals a generous compensation/benefits package as well as equity in our company.

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