Job Description

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.

Qualifications

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.

Skills Required

• Data Analytics