Specialist, Digital Emerging Technologies; Data Scientist​/IOT

Develop and support implementation of strategies & 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 company Group of Companies.
Design, implement and maintain company’s Offshore the technical artificial intelligence strategy and data analytics
framework in order to model complex company 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
Develop and maintain company’s Offshore artificial intelligence strategy for the core business and technical domains
related to exploration, development and production.
Develop and maintain company’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 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.
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.

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 Garner’s and others and
evaluate the technology functionality related to oil & 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.
Data Science
A data scientist capable to model complex problems while realizing company’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 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.
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 session, workshops and liaise with technical departments to identify matters to be analyzed using
appropriate data and appropriate analysis tools.
Provide on-going tracking and monitoring of performance of decision support systems and provide algorithmic
statistical models as a core.
Conduct potential POCs, share the finding internally and identify opportunities…