Specialist, Digital Emerging Technologies (Data Scientist / IOT)

Develop and support implementation of strategies & plans for Digital Oilfields activities in line with Companyu2019s 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 ADNOCu2019s Offshore the technical artificial intelligence strategy and data analytics
framework in order to model complex ADNOC Offshore problems and finding 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
Artificial Intelligence
uF0B7 Develop and maintain ADNOCu2019s Offshore artificial intelligence strategy for the core business and technical domains
related to exploration, development and production.
uF0B7 Develop and maintain ADNOCu2019s offshore artificial intelligence guidelines document to provide general guidance
and state the minimum requirements for technical departments and projects.
uF0B7 Work closely with discipline engineers and subject matter expertise and others in order to produce systems that
utilize artificial intelligence and capable of adapting or changing based on adding data.
uF0B7 Conduct brain storming sessions and technical workshops to identify opportunities to be assessed and prioritized,
which can be solved or improved by implementing artificial intelligence tools.

uF0B7 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 Garneru2019s and others and
evaluate the technology functionality related to oil & gas industry.
uF0B7 Develop scalable tools leveraging deep learning models to solve business problems in areas such as voice
recognition, natural language processing and time series predictions.
uF0B7 Suggest, collect and generate requirements. Create an effective roadmap towards the deployment of a production
level artificial intelligence application.
Data Science
uF0B7 A data scientist capable to model complex problems while realizing ADNOCu2019s offshore insights and identifying
opportunities through the use of algorithms, statistical models, data mining and visualization techniques.
uF0B7 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.
uF0B7 Conduct workshops and session to help the technical departments understand the principles and math behind the
process to drive organizational buy-in and to build multi discipline teams that are capable to define, model and
solve problems related to their domains.
uF0B7 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.
uF0B7 Work with different data types (sensors data, maintenance logs, datasheets, images, etc) to build, validate and
maintain predictive models
uF0B7 Educate the organization both from IT and the business perspectives on new approaches, such as testing
hypotheses and statistical validation of results.
uF0B7 Conduct scoping session, workshops and liaise with technical departments to identify matters to be analyzed using
appropriate data and appropriate analysis tools.
uF0B7 Provide on-going tracking and monitoring of performance of decision support systems and provide algorithmic
statistical models as a core.
uF0B7 Conduct potential POCs, share the finding internally and identify opportunities to deploy pilot projects.
uF0B7 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.
uF0B7 Provide guidance and mentor developers regarding data analytics. Liaise with ADNOC to build and mentor a new
team of Data Scientists.
Data Preparation
uF0B7 Identify what data is available and relevant, including internal and external data sources, leveraging and
automating new data collection processes.
uF0B7 Support in the application of patterns and variations in the volume, speed, variety and other characteristics of
data supporting the data analytics initiative.
uF0B7 Capture structured and unstructured data (e.g., images, voice, text, or metering data) required to build models
related to oil and gas business.

General
uF0B7 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.
uF0B7 Investigate and highlight any significant variances to support effective performance and cost control
uF0B7 Contribute to the achievement of the approved Performance Objectives for the Team / Department in line with
the Company Performance framework.
uF0B7 Design and implement new tools and techniques to improve the quality and efficiency of operational processes.
uF0B7 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.

Supervision
uF0B7 Plan, supervise and coordinate all activities in the assigned area to meet functional objectives.
uF0B7 Train and develop the assigned staff on relevant skills to enable them to become proficient on the job and deliver
the respective section objectives.
Budgets
uF0B7 Provide input for preparation of the Section / Department budgets and assist in the implementation of the
approved Budget and work plans to deliver Section objectives.
uF0B7 Investigate and highlight any significant variances to support effective performance and cost control
Policies, Systems, Processes & Procedures
uF0B7 Implement approved Section / Department policies, processes, systems, standards and procedures in order to
support execution of the Sectionu2019s / Department work programs in line with Company and International standards.
Performance Management
uF0B7 Contribute to the achievement of the approved Performance Objectives for the Section / Department in line with
the Company Performance framework.
Innovation and Continuous Improvement
uF0B7 Design and implement new tools and techniques to improve the quality and efficiency of operational processes.
uF0B7 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.
Health, Safety, Environment (HSE) and Sustainability
uF0B7 Comply with relevant HSE policies, procedures & controls and applicable legislation and sustainability guidelines
in line with international standards, best practices and ADNOC Code of Practices.
Reports
uF0B7 Provide inputs to prepare Section MIS and progress reports for Company Management.

COMMUNICATIONS & WORKING RELATIONSHIPS:

uF0B7 Interactive working relationships with Vice Presidents, Managers, Team Leaders, and various technical disciplines
senior subject matter experts at stakeholders divisions in relation to identifying Artificial Intelligent(AI) solutions
requirements acquisitions strategies.
uF0B7 Frequent communications with Procurement Divisions for solutions acquisition & MSU contracts.
uF0B7 Regular contacts with various other divisionsu2019 personnel to discuss/exchange information and advises on relevant
AI technologies/solutions including Assets, Drilling, Production, Corporate Planning, etc.
uF0B7 Daily interactions with other Specialists.
uF0B7 Regular contact with IT representatives.
uF0B7 Occasional contact with counterparts in ADNOC and other Group Companies for exchange of
information/knowledge, shared projects and project related experience.
uF0B7 Regular contact with ADNOC HQ Operations Excellence, R&D and Panorama Unit.
External
uF0B7 Frequent contact with services providers, consultants, vendors etc.

QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS:
Minimum Qualification
uF0B7 Bacheloru2019s Degree in Engineering, Artificial Intelligence, Robotics, Petroleum or equivalent discipline.
Minimum Experience & Knowledge & Skills
uF0B7 Minimum 10 years of experience in large-scale Data Science, Data Analytics and software development within the
Oil & Gas industry.
uF0B7 Understanding of natural language processing (NPL), machine learning (ML) and artificial neural network (ANN)
uF0B7 Strong experience with machine learning APIs and computational packages (TensorFlow, Theano, PyTorch, Keras,
Scikit-Learn, NumPy, SciPy, Pandas, statsmodels).
uF0B7 Knowledge of R, SQL and Python familiarity with Scala, Java, C or C++, version control and Matlab is an asset.
uF0B7 Experience using and understanding business intelligence tools (e.g. Spotfire, Tableau).
uF0B7 Experience with data mining and visualization tools.
uF0B7 Experience with data preparation (pre-processing, feature engineering and feature selection), model training,
application classification, regression.
uF0B7 Experience supervised and unsupervised in machine learning algorithms.
uF0B7 Experience with data capturing, aggregation, collation and manipulation with large data sets.
uF0B7 Experience with Big Data and familiar with frameworks (e.g. Hadoop and Spark).
uF0B7 Analytical mind, business insight and have strong math and statistics knowledge.
uF0B7 Excellent communication and presentation skills.
uF0B7 Proficient in English.

Professional Certifications
uF0B7 International certifications in Project management, Process improvements & Standardisation, and/or Technology
implementation.