Data Science

3 weeks ago


dubai, United Arab Emirates Salt Full time
Data Science & Analytics Director Jobs In Dubai 2022 | SaltJob Responsibilities:
Lead a team of analysts within Global Data Science, including project oversight, mentoring, and professional developmentWork 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 basisAbility to encourage the highest level of quality and thought leadership in reports & data analysisGuide team in the development of meaningful solutions and creation of work you’re doing that optimally communicates the findings and recommendationsDevelop 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 setLed development of assets supporting scalable analytic approaches capable of being used by data scientists globallyMake recommendations and build use cases on new sources of value by addressing the biggest gaps in our data sources in relation to revenue potentialVoice support for new analytic approaches for processing big data through internal training, documentation and by leading technical sharing sessionsUtilize Hadoop, and related query engines, such as Hive and Impala, to perform sophisticated data miningResearch industry metrics and business context and bring this context to bear in analysesFind opportunities to create and automate repeatable analyses or build self-service tools for business usersDirect 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.
Job Requirements:
12-15 years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhDMinimum of 7+ years of analytical experience in applying solutions to business problems in relevant fields such as analytics, business consulting, or other related functionsPost Graduate degree in quantitative/relevant field such as Statistics, Operational Research, Computer Science, Economics, Business Administration, etc.Experienced knowledge of databases and engineering concepts with hands on experience with one or more data analytics/programming tools such as SAS/Hive/R/SQL/PythonKnowledge of big data engineering stack including Hadoop, Spark, Kafka and other related componentsFamiliarity or experience with data mining and statistical modeling (e.g., regression modeling, clustering techniques, decision trees, etc.) is strongly preferredPrevious experience with a consulting firm delivering consulting services to financial services clients is a plusProven experience in planning, organizing, and leading multiple multi-functional projects with diverse cross-functional partnersGood discernment to orient data analysis to the business needs of clientsEloquent communicator able to translate data and technical concepts for a business audienceDemonstrated ability to innovate solutions that tackle business problemsStrong business acumen with proven ability to solve business problems through industry-leading engineering methodologies.Experience in ecommerce, payment, retail banking, or retail merchant industries is preferredTeam-oriented, collaborative, respectful, and flexible style, with the ability to tailor results to varied audiencesDetailed orientation is expected to ensure the highest level of quality in planning and roadmap development for deliverablesProven track record in translating analytics output to significant recommendations, and deliveryExperience in communicating ideas and analysis to a technical audienceExhibit intellectual curiosity and strive to continually learn
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