Data Science & Analytics Director
Salt Recruitment Dubai -
Dubai, Dubai, AE
منذ 3 يوم
source : WHATJOBS

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Responsibility :

  • Lead a team of analysts within Global Data Science, including project oversight, mentor, and professional development
  • Work with internal and external clients to understand their strategic business questions and lead project prioritization and design to answer those questions using data.
  • Lead other tasks on R&D, data governance, system infrastructure, analytics tool evaluation, and other cross team functions, on an as-needed basis
  • Ability to encourage the highest level of quality and thought leadership in reports & data analysis
  • Guide team in the development of meaningful solutions and creation of work you’re doing that optimally communicate the findings and recommendations
  • Develop unique global data assets in order to support other Data Science teams in answering critical questions for business teams.
  • Measure effectiveness of utilization of data assets and for advising resources towards high potential data sources, knowledge and technology assets.
  • Use big data and cutting-edge data mining techniques, provide guidance on analytic techniques and business applications to unlock the value of our data set
  • Lead development of assets supporting scalable analytic approaches capable of being used by data scientists globally
  • Make recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to revenue potential
  • Voice support for new analytic approaches for processing big data through internal training, documentation and by leading technical sharing sessions
  • Utilize Hadoop, and related query engines, such as Hive and Impala, to perform sophisticated data mining
  • Research industry metrics and business context and bring this context to bear in analyses
  • Find opportunities to create and automate repeatable analyses or build self-service tools for business users
  • Direct the execution of medium to large analytic projects based on business requirements and desired business outcomes.
  • Define detailed analytic scope and methodology, and create architecture plans for data assets.
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