Digital Specialist/Data Scientist

4 weeks ago

Doha, Baladīyat ad Dawḩah, Qatar QatarEnergy LNG Full time
Job Purpose
  • Provide specialized guidance and collaborate with the Data Scientist Specialist to carry out tasks related to data preparation, sourcing, and cleansing for the current QG IT platform. Execute Artificial Intelligence (AI) and Machine Learning (ML) tasks as required.
Job Context & Major Challenges
  • Responsible for utilizing extensive datasets to discover opportunities for process enhancement and testing models to assess different courses of action. Key challenges include:
    • Implementing various data mining and analysis methods with diverse tools.
    • Constructing and deploying models, utilizing algorithms, and performing simulations for intricate IT scenarios.
Key Job Responsibilities
  • • Collaborate with stakeholders across the organization to identify ways to leverage company data for business solutions.
    • Analyze data from company databases to optimize product development, marketing strategies, and business tactics.
    • Evaluate new data sources and gathering techniques for accuracy and effectiveness.
    • Develop and evaluate custom data models and algorithms for datasets.
    • Utilize predictive modeling techniques to enhance customer experiences, revenue generation, ad targeting, and business outcomes.
    • Establish an A/B testing framework and assess model quality.
    • Provide guidance to functional teams for model implementation and performance monitoring.
    • Create tools and processes for monitoring model performance and data accuracy.
Qualifications
  • Bachelor's degree in Computer Science/Engineering, Information Technology, Information Systems, or a related field.
Knowledge and/or Experience
  • • 8 years of IT experience in the Oil & Gas sector, particularly in setting up IT Systems and Applications.
    • Proficiency in statistical and data mining methods such as GLM/Regression, Random Forest, Boosting, Trees, text mining, and social network analysis.
    • Sound knowledge of machine learning techniques and algorithms like k-NN, Naive Bayes, SVM, and Decision Forests.
    • Familiarity with data science toolkits and data visualization software.
    • Proficient in query languages like SQL, Hive, Pig, and SAP HANA.
    • Experience with NoSQL databases including MongoDB, Cassandra, HBase, and SAP HANA.
Technical and Business Skills
  • • Proficient in written and spoken English.
    • Computer literacy, including proficiency in MS Office and SAP modules.
    • Awareness of standards, practices, codes, and certification programs relevant to the IT sector.
    • Understanding and addressing IT and business continuity risks and their mitigation.

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