[ref. m38657401] Specialist, Digital Emerging Technologies (Data Scientist / IOT)

Job description / Role

Oil & Gas

Develop and support implementation of strategies and plans

Develop and support implementation of strategies and plans for Digital Oilfields activities in line with company's objectives and priorities, to enhance oil recovery, achieve operational excellence and promote safer operations. Develop and maintain the DOF strategy and benchmarks against ADNOC Group of Companies.

Design, implement and maintain ADNOC's offshore technical artificial intelligence strategy and data analytics framework in order to model complex ADNOC offshore problems and find opportunities by solving business-related issues. Work with real-time data and perform big data mining while realizing the insights and identifying opportunities through the use of algorithms, statistical models and visualization techniques.

Key accountabilities

Job specific accountabilities

• Develop and maintain ADNOC's offshore artificial intelligence strategy for the core business and technical domains related to exploration, development and production.
• Develop and maintain ADNOC's offshore artificial intelligence guidelines document to provide general guidance and state the minimum requirements for technical departments and projects.
• Work closely with discipline engineers, subject matter experts and others in order to produce systems that utilize artificial intelligence and are capable of adapting or changing based on adding data.
• Conduct brainstorming sessions and technical workshops to identify opportunities to be assessed and prioritized, which can be solved or improved by implementing artificial intelligence tools.
• Conduct regular market surveys and be aware of different technological announcements (advancements) related to artificial intelligence and data science. Compare the top ranked technologies by Gartner's and others and evaluate the technology functionality related to oil and gas industry.
• Develop scalable tools leveraging deep learning models to solve business problems in areas such as voice recognition, natural language processing and time series predictions.
• Suggest, collect and generate requirements. Create an effective roadmap towards the deployment of a production level artificial intelligence application.

• A data scientist capable to model complex problems while realizing ADNOC's offshore insights and identifying opportunities through the use of algorithms, statistical models, data mining and visualization techniques.
• Recommend ongoing improvements to methods and algorithms that lead to findings, including new information. Provide business metrics for the overall project to reflect improvements by periodic monitoring over multiple iterations.
• Conduct workshops and sessions to help the technical departments understand the principles and math behind the process to drive organizational buy-in and to build multidisciplinary teams that are capable to define, model and solve problems related to their domains.
• Design and launch innovative and complex analytic models and lead the development of big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives.
• Work with different data types (sensors data, maintenance logs, datasheets, images, etc.) to build, validate and maintain predictive models.
• Educate the organization both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results.
• Conduct scoping sessions, workshops and liaise with technical departments to identify matters to be analyzed using appropriate data and appropriate analysis tools.
• Provide ongoing tracking and monitoring of performance of decision support systems and provide algorithmic statistical models as a core.
• Conduct potential proofs of concept, share the findings internally and identify opportunities to deploy pilot projects.
• Design and develop a scalable data analytics platform and solutions. Assess, benchmark and select data analytics technologies to be added to the big data platforms.
• Provide guidance and mentor developers regarding data analytics. Liaise with ADNOC to build and mentor a new team of data scientists.

• Identify what data is available and relevant, including internal and external data sources, leveraging and automating new data collection processes.
• Support in the application of patterns and variations in the volume, speed, variety and other characteristics of data supporting the data analytics initiative.
• Capture structured and unstructured data (e.g., images, voice, text, or metering data) required to build models related to oil and gas business.

• Provide input for preparation of the team/department budgets and assist in the implementation of the approved budget and work plans to deliver team objectives.
• Investigate and highlight any significant variances to support effective performance and cost control.
• Contribute to the achievement of the approved performance objectives for the team/department in line with the company performance framework.
• Design and implement new tools and techniques to improve the quality and efficiency of operational processes.
• Identify improvements in internal processes against best practices in pursuit of greater efficiency in line with ISO standards in order to define intelligent solutions for issues confronting the function.

• Plan, supervise and coordinate all activities in the assigned area to meet functional objectives.
• Train and develop the assigned staff.

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