Systems Controller - BI & Data Analytics Specialist
Qatar Duty Free
Doha, Qatar
منذ 9 ساعات

About the role :

As a System Controller - Data Scientist, you will be responsible for helping us achieve this ambition through :

Driving innovation by solving key business problems with advanced data analytics and AI. Experimenting with new technologies and concepts to deliver a real positive impact on the airport and its stakeholders.

Enabling HIA to continuously perform as a data driven organization.

Operational

  • Collaborate with business teams to understand company needs and identify machine learning and artificial intelligence use cases across the airport business.
  • Build custom models and machine-learning algorithms to apply to business-related data sets.
  • Identify valuable data sources and analyze them to reveal trends, patterns and business insight.
  • Develop data pipelines for processing of structured and unstructured data.
  • Use a working knowledge of various AI capabilities such as computer vision, NLP, machine learning to build applications to solve real world problems.
  • Generate hypotheses and design experiments that deliver tangible business benefits.
  • Develop testing frameworks to measure model performance pre and post production deployment.
  • Coordinate the implementation of the model with manager and measure / monitor the outcomes.
  • Acquire and transform data from source systems in line with business priorities, solving for the key challenges of big data volume, variety, velocity and veracity.
  • Perform analysis to generate insights for key business challenges or objectives.
  • Oversee the preparation of technical documentation to ensure adequate data lineage, governance and compliance with information, security and other relevant policies.
  • Solution Design & Delivery

  • Facilitate gathering and documenting requirement and business objectives for advanced analytics.
  • Design, communicate and negotiate technical solutions and implementation plans with various stakeholders.
  • Deliver committed projects and tasks using agile software delivery methodology.
  • Contribute to the evaluation and procurement process for data related technologies or COTS systems / products to meet business objectives.
  • Assist the team to ensure regular compliance with change and other relevant processes of ISO 20000.
  • Conduct root cause analysis of reported incidents in operational systems and ensure right changes to code, test and promote fixes following the established incident management process based on ITIL.
  • Drive awareness Data Science & Artificial Intelligence capabilities and limitations and develop training content for business users to enhance the Date Culture and Data Literacy.
  • Drive the usage and adoption of the Business Intelligence Self Service platform.
  • About you :

  • Minimum 5 years’ experience in Data Analytics.
  • Degree in Computer Science, Mathematics, Engineering or equivalent quantitative discipline.
  • Qualifications and certifications related to Statistics, Data Science or AI are preferred.
  • Airport domain experience is preferred but not essential.
  • Experience of working in an agile delivery environment (user stories, back log grooming, sprints, etc)
  • Experience of using software to plan, track and manage user stories e.g. JIRA
  • Sound knowledge of statistics, data profiling, data quality measurement and cleaning.
  • Skilled at presenting, data storytelling and explaining technical concepts to non-technical audiences.
  • Adept at generating hypotheses, designing experiments and measuring performance.
  • Some exposure to Deep Learning, Computer Vision or Reinforcement Learning is advantageous.
  • Fair knowledge and experience of using of either Python (preferred) or R programming language for analysis and machine learning.
  • Hands on experience of ML frameworks and toolkits (e.g. Tensorflow, PyTorch, Keras, scikit-learn etc.)
  • Experience of using code repository and version control software (e.g. Github, BitBucket, TFS, etc.)
  • Good knowledge of data warehousing concepts and ability to query data using SQL.
  • Capable of understanding API documentation and querying them using tools such as Postman
  • Strong exploratory analysis skills with experience using Business Intelligence tools such as PowerBI (preferred), Tableau, SSRS, Qlikview.
  • Good awareness of Big Data systems and cloud technologies, particularly Azure.
  • Awareness of DevOps and CI / CD principles.
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