Data Scientist (22.06.2022) Qatar

Job Purpose

  • Support and provide advice to the Business Intelligence and Analytics team in creating insights gained from analyzing relevant company data. Obtain information from various sources and analyze for a better understanding about how the business performs and to build Artificial Intelligence (AI) tools that automate certain processes within the company.

Job Context & Major Challenge(s)

  • Primary focus will be applying data mining techniques, conducting statistical analysis, and building high quality prediction systems integrated with our products.
  • Role is responsible for using large data sets to locate opportunities for process optimization and using models to test the effectiveness of different courses of action.
  • Major challenge of the role includes
  1. using a variety of data mining or data analysis methods utilizing a variety of data tools,
  2. building and implementing models using and creating algorithms
  3. and creating and running simulations for complex Information Technology (IT) scenarios and solutions.

Key Job Accountabilities

  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Analyze and examine data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
  • Selecting features, building and optimizing classifiers using machine learning techniques.
  • Conduct data mining activities using state-of-the-art methods in support of the ML projects.
  • Extending company’s data with third party sources of information when needed.
  • Enhancing data collection procedures to include information that is relevant for building analytic systems.
  • Processing, cleansing, and verifying the integrity of data used for analysis.
  • Completing ad-hoc analysis and presenting results in a clear manner when required.
  • Creating automated anomaly detection systems and conduct constant tracking of its performance.

Qualifications

  • Bachelor’s degree in Computer Science/Engineering, Information Technology or Information Systems or equivalent.

Knowledge and/or Experience

  • 8 years of IT experience within Oil & Gas industry with specific experience establishing IT systems and applications.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining and social network analysis.
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM & Decision Forests.
  • Experience with common data science toolkits and data visualization tools.
  • Proficiency in using query languages such as SQL, Hive, Pig and SAP HANA.
  • Experience with NoSQL databases, such as MongoDB, Cassandra, HBase and SAP HANA.

Technical and Business Skills

  • High standard of written and Spoken English.
  • Computer Literacy (MS Office) including the use of software applications and SAP modules.  
  • Awareness in applying standards, practices, codes, assessment and certification programs relevant to IT industry.
  • Compliance towards IT and business continuity risks and their mitigation.
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