Feb 28, 2020
JOB PURPOSE: Design, implement and maintain ADNOC’s data analytics methodology in order to model complex ADNOC problems and identifying opportunities using statistical, algorithmic, mining and visualization techniques. Implement data algorithms from ideation to productions that leverages the processing of real-time oil & gas data feeds onto processing platform to produce real-time decision support insights and novel, high impact decision support solutions to ADNOC end-users. KEY ACCOUNTABILITIES: Algorithm Development : Define, implement, operate and maintain ADNOC’s data analytics methodology in order to model complex ADNOC problems while realizing ADNOC insights and identifying opportunities through the use of statistical, algorithmic, mining and visualization techniques. Conduct scoping session and liaise with businesses to identify matters to be assessed and analysed using appropriate data and appropriate analysis tools. Analyse scientific methods and the results to solve client analytics problems; document results and methodologies timely and accurately. Validate the analysis by comparing appropriate samples. Keep updated about technological advancement related data analytics through industry surveys, white papers, conferences, courses etc. Track and monitor the performance of decision systems and statistical models and implement relevant improvements. Conduct workshops and session to help the business lines/organization understand the principles and math behind the process to drive organizational buy-in. Educate the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results. Data Preparation: Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes such as smart meters. Support in the application of patterns and variations in the volume, speed and other characteristics of data supporting the data analytics initiative, the type of data (e.g., images, text, clickstream or metering data) in predictive analysis. Share finding internally and identify opportunities to conduct tests and POCs. Support the organisation in data cleaning by providing continuous feedback about data quality and recommend data quality improvements areas. Algorithm Testing & Application: Analyse patterns and variations in the volume, speed and other characteristics of data supporting the data analytics initiative, the type of data (e.g., images, text, clickstream or metering data). Lead the algorithms design and definition; validates analysis by comparing appropriate samples and testing methodologies. Identify, develop, maintain, test and run algorithms using appropriate programming languages. In collaboration with GITU representatives, manage the software / hardware platform to support data analytics. Implement various modelling stages to test and run application specific algorithms for processing of real-time oil & gas data feeds onto processing platform and presenting real-time decision support data and novel, high impact solutions to end-users. Conduct periodic tracking and performance monitoring of decision systems and statistical models. Conduct proof of concepts (POC) for identified opportunities as per recommended plan. Ensure timely implementation of agreed PoCs enhance productivity and quality. Employ advanced descriptive, predictive and prescriptive algorithms to ADNOC data in order to improve ADNOC processes and recommend optimized process for better decision making. Work closely with IT on data products implementation, and make sure that they are properly put into production and accessible to end user. QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS: Minimum Qualification: Bachelor’s Degree in Physics, Mathematics or equivalent discipline, advanced degree (MSc or PhD preferred). Minimum Experience & Knowledge & Skills: Minimum 6 years (or 2 years with a PhD) of experience in large-scale Data Analysis and Data Analytics and software development within oil & gas companies, airlines, manufacturing (international), transportation or logistics industries is a must. Professional user of data visualization tools (Tibco Spotfire, Tableau, Qlik, Python, R. etc.). Experience with data preparation (denoising, feature engineering and selection), model training, application (classification, regression) is required. Experience with data sourcing, aggregation, collation, manipulation and enrichment with large data sets.
Abu Dhabi National Oil Company Abu Dhabi Full time