HAKA1174 - IT Sys Analyst I

  • Industry
    Oil & Gas Industry
  • Job Category
    Information Technology
  • Contract Type
    Full Time
  • Department
    Not Applicable
  • Closing Date
    19-Aug-2022
About HAKA
HAKA is a Business Consulting and Outsourcing company that offers a wide range of services including but not limited to Talent Attraction, Staffing & Mobilization, Business Outsourcing Solutions, Facilities Management, Inspection Services, Management Consulting, and HR Solutions.
Minimum Qualification & Experience
  • Minimum of 10 years in Advanced Analytics, Statistics, AI and Machine Learning
  • Master's/Bachelor's Degree in related filed
Job Responsibilities
  • Participate in the implementation of advanced analytical applications in the Hydrocarbon Management Division (HMD).
  • Develop, evaluate and deploy machine learning models in IBM Cloud Pak for Data
  • Develop, enhance and test applications based on Hadoop/Spark, Splunk, SAP HANA, and SAP BO, Microsoft R Server, and Microsoft Power BI.
  • Develop, evaluate and deploy machine learning models using open sources packages using Python or R.
  • Develop necessary documentation as per established standards.
  • Review and analyze user requests for advanced analytics and document end user requirements.
  • Analyze business processes to determine opportunities for applying advanced analytical tools to create value, save costs, enhance processes, and improve organizational health and security.
  • Diagnose and resolve operational problems related to advanced analytical applications to ensure system availability.
  • Raise the data science maturity levels in Saudi Aramco by sharing knowledge and mentor young professionals
  • Strong experience in applied machine learning and deep learning
  • Experienced in solution development and deployment in deep learning frameworks ; TensorFlow, PyTorch, Keras,  MxNET
  • Experienced in Advanced Natural Language Processing modeling 
Note: you will be required to attach the following:
  1. Resume/CV
  2. National ID - Iqama