Specialist, Digital Emerging Technologies (Data Scientist / IOT)

ADNOC; Abu Dhabi; On-site; AED 350,000 - 600,000; Full time

Job summary

ADNOC is seeking a senior data scientist to lead the offshore AI strategy and data analytics efforts across exploration, development and production domains. You will design and deploy AI solutions using real-time data and advanced analytics to unlock operational improvements.

You will work with diverse data sources, develop scalable models, and mentor a growing team of data scientists to advance digital oilfields initiatives within a leading national energy company.

Qualifications

• Bachelor’s degree in Engineering, AI, Robotics, Petroleum or equivalent discipline.
• 10+ years in large-scale Data Science and Analytics in Oil & Gas or related industry.
• Strong knowledge of NLP, ML, ANN and related AI techniques.
• Proficient in Python, SQL and data analytics tools; experience with BI tools and big data platforms.

Responsibilities

• Develop and maintain offshore AI strategy and data analytics framework for DOF and related domains.
• Lead design, implementation, and deployment of scalable AI tools and predictive models.
• Work with real-time and sensor data to build, validate and operationalize analytics solutions.
• Collaborate with engineers to translate data insights into production improvements.
• Mentor teams and conduct workshops to drive adoption of AI/analytics across the organization.

Skills

Artificial Intelligence

Data Science

Machine Learning

Python

SQL

Big Data

NLP

Data Visualization

Education

Bachelor’s Degree in Engineering, AI, Robotics, Petroleum or equivalent

Tools

TensorFlow

Theano

PyTorch

Keras

Scikit-Learn

NumPy

SciPy

Pandas

Matlab

Spotfire

Tableau

Hadoop

Spark

Job description

JOB DESCRIPTION

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 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 company to build and mentor a new
team of Data Scientists.
Data Preparation
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.

General
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.
Supervision
Plan, supervise and coordinate all activities in the assigned area to meet functional objectives.
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
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.
Investigate and highlight any significant variances to support effective performance and cost control
Policies, Systems, Processes & Procedures
Implement approved Section / Department policies, processes, systems, standards and procedures in order to
support execution of the Section’s / Department work programs in line with Company and International standards.
Performance Management
Contribute to the achievement of the approved Performance Objectives for the Section / Department in line with
the Company Performance framework.
Innovation and Continuous Improvement
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.
Health, Safety, Environment (HSE) and Sustainability
Comply with relevant HSE policies, procedures & controls and applicable legislation and sustainability guidelines
in line with international standards, best practices and company Code of Practices.
Reports
Provide inputs to prepare Section MIS and progress reports for Company Management.

COMMUNICATIONS & WORKING RELATIONSHIPS:

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.
Frequent communications with Procurement Divisions for solutions acquisition & MSU contracts.
Regular contacts with various other divisions’ personnel to discuss/exchange information and advises on relevant
AI technologies/solutions including Assets, Drilling, Production, Corporate Planning, etc.
Daily interactions with other Specialists.
Regular contact with IT representatives.
Occasional contact with counterparts in company and other Group Companies for exchange of
information/knowledge, shared projects and project related experience.
Regular contact with company HQ Operations Excellence, R&D and Panorama Unit.
External
Frequent contact with services providers, consultants, vendors etc.

QUALIFICATIONS, EXPERIENCE, KNOWLEDGE & SKILLS:

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

Professional Certifications

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