Lead, Security Data Insights

3 weeks ago

Doha, Qatar قطر للطاقة Full time

**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**
INFORMATION & COMMUNICATION TECHNOLOGY

**Primary purpose of job**
Develop Cyber security data strategy and road map and maintain high level of uptime for IT & OT cyber data pipeline. 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 5 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
- An attention to detail with self-discipline and a drive for results

**Education**:

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

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