:JOB PURPOSE: Manage and design the development of new Machine Learning services/solutions requested by different line of Businesses in the client's company by translating those requirements to the necessary data structures. Monitor development activities by managing a group of vendors.KEY ACCOUNTABILITIES:Job Specific AccountabilitiesData Analysis, Business Intelligence and Machine Learning\xef\x82\xb7 Build rapport with key stakeholders, gain a strong understanding of the business requirements and business goals to help create opportunities for data-driven decisions\xef\x82\xb7 Design and Build Machine Learning Algorithms covering all different logics of Supervised and unsupervised Machine and neural networks.\xef\x82\xb7 Demonstrate the ability to provide in-depth analysis of database management systems (Oracle/SQL Server) and ETL processes, and data warehouse design principles\xef\x82\xb7 Proactively identify opportunities to create efficiencies, and acquire new skills to increase abilities in data delivery and knowledge\xef\x82\xb7 Participate in solution architecture and design to meet business objectives while evolving our next generation data platform\xef\x82\xb7 Create and maintain ETL specifications and process documentation to produce the required deliverables (i.e. data profiling, source to target maps, ETL flows).\xef\x82\xb7 Analyze data from multiple systems of record and apply that knowledge during data design and modelling\xef\x82\xb7 Translate business needs to technical specifications\xef\x82\xb7 Design, build and deploy Machine Learning solutions (e.g. reporting tools)\xef\x82\xb7 Maintain and support data analytics platforms (e.g. Micro-Strategy)\xef\x82\xb7 Ensure conducting unit testing and troubleshooting\xef\x82\xb7 Collaborate with teams to integrate systems for effective ML\xef\x82\xb7 Develop and execute database queries and conduct analyses\xef\x82\xb7 Create visualizations and reports for requested projects\xef\x82\xb7 Develop and update technical documentation\xef\x82\xb7 Defines logical and physical data models.RequirementsQUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS:Minimum Qualification\xef\x82\xb7 Bachelors degree in Mathematics, Computer Science, Economics, or StatisticsMinimum Experience & Knowledge & Skills\xef\x82\xb7Proven experience as a BI Developer or Data Scientist\xef\x82\xb7 Proven experience of AI/machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.\xef\x82\xb7 7+ years experience with business analytics, ETL, Data Warehouse applications\xef\x82\xb7 Background in data warehouse design (e.g. dimensional modelling) and data mining\xef\x82\xb7 Relevant industry experience in O&G Retail is an advantage\xef\x82\xb7 Able to understand various data structures and common methods in data transformation\xef\x82\xb7 Technical expertise regarding data models, database design development, data mining and segmentation techniques.\xef\x82\xb7 Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.\xef\x82\xb7 In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework\xef\x82\xb7 Familiarity with BI technologies (e.g. Microsoft Power BI, Oracle BI)\xef\x82\xb7 Knowledge of SQL queries, Oracle Data warehouse, SQL Server Reporting Services (SSRS) and SQL Server Integration Services (SSIS)\xef\x82\xb7 Experience with data visualization tools.\xef\x82\xb7 Great project management skills and the ability to bring the abstract into focus.Professional Certifications\xef\x82\xb7 Relevant certifications and trainings in AI/MLfrom SAS, Oracle, Cloudera, Microsoft, IBM, Dell etc is a plus

Al Nahiya Group