Job Description

Company
QatarEnergy is a state-owned public corporation established byEmiri Decree No. 10 in 1974. It is responsible for all phases
of the oiland gas industry in the State of Qatar.The principal activities of QatarEnergy, its subsidiaries and jointventures are
the exploration, production, local and international saleof crude oil,natural gas and gas liquids, refined products,
syntheticfuels,petrochemicals, fuel additives, fertilizers, liquefied natural gas(LNG), steel and aluminium.Qatar Energy's
strategy of conducting hydrocarbon exploration anddevelopment is through Exploration and Production Sharing
Agreements(EPSA) and Development and Production Sharing Agreements (DPSA)concluded with major international oil
and gas companies.The operations and activities of QatarEnergy and its affiliates areconducted atvarious onshore
locations, including Doha, Dukhan and the Mesaieed andRas Laffan Industrial Cities, as well as offshore areas, including
HalulIsland, offshore production stations, drilling platforms and the NorthField.Thriving on a spirit of enterprise, each of our
joint ventures isunderpinned by transparency, innovation and high standards of qualityand service. At QatarEnergy, we are
committed to one thing aboveall: Excellence.
Department
Cyber Security
INFORMATION & COMMUNICATION TECHNOLOGY
Primary purpose of job
To maintain the cyber security data lakes operational effectiveness and carry out investigative research to generate security
data insights.
Ensure integration with security systems to ingest and utilize all relevant security feeds.
Extract relevant IOCs from external threat intelligence data feeds.
Continuously optimize security data pipeline to maximize the speed of security incident generation.
Experience & Skills

• Min 3 years of relevant experience in Data Analytics
• Experience in developing minimum viable product related to Data Analytics
• Good Understanding on ML & DL Algorithms and Frameworks (Scikit-Learn, Tensorflow, Pytorch, H2O etc.)
• Well Versed with Data Science Methodologies and Frameworks (NLTK, RASA, SpaCy, OpenCV, Scikit-Learn,

• Experience with Data Engineering Pipelines and Components
• Experience working with Enterprise Data Warehousing Concepts
• Experience working with Scalable and Distributed Systems
• Experience with Programming Languages like Python/Java/R Programming
• Understanding of RDBMS concepts - SQL, Oracle
• Experience on Prescriptive Analytics
• Experience in developing/architecting Solutions/Machine Learning Models on the Cloud. (Azure, GCP or AWS)
• Understanding of No-SQL Databases - MongoDB, Cassandra, Neo4j
• Track record of developing novel learning algorithms and/or systems
• Ability to visualize data and present core insights in a clear and compelling way
• Ability to understand business processes and drive to solve business problems

• Degree in Computer Science, IT, Data Science, Mathematics, Statistics, Operations Research or Related Field