Qatar Energy
Doha, Doha, Qatar
منذ 6 يوم
source : Oil & Gas Job Search

Job Title : SR. SECURITY DATA SCIENTIST (CyberSecuirty)

Reference Code : OG-7003087


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.

Cyber Security


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, Tensorflow)
  • 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
  • Education

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