 To enable data driven decision making across the airline.

 Build and improve mathematical models and algorithms that further optimize business outcomes.

1. As a Senior Data Scientist, you will work across the following areas:

o Exploratory analysis: use data to suggest and prove hypotheses, run what-if analysis and provide insights for stakeholders

o Modeling: build optimization / predictive / statistical models to learn from data and estimate unknowns

o Data operations: query data, deploy models and automate pipelines on local server or cloud.

2. Collaborate and work across functional and multidisciplinary teams in a dynamic environment to develop an understanding of evolving/agile business needs.

3. Experience with common data science toolkits, programming languages, visualisation tools and databases.

4. Good applied statistical knowledge with emphasis in business and finance related statistical distributions, statistical testing, modeling, regression analysis, etc.

5. Experience with distributed computing platforms and open-source tools and libraries.

6. Experience developing and deploying to the cloud.

7. Familiar or prone to adopt design thinking methods.

8. Able to work under pressure and change, and balance among speed, reliability, interpretability.

9. Experience with code versioning, code review and documentation.

10. Familiarity and experience in one or more of the following specialized areas:

Machine Learning

• Understanding of machine learning algorithms such as k-NN, Naive Bayes, SVM, Decision trees.

• Experience using ML frameworks such as TensorFlow, PyTorch, or scikit-learn.

• Experience with Google Cloud Platform products and services such as Vision API, Recommendations API, Cloud Natural Language.

Algorithm Engineering

• Strong ability to implement, improve, and deploy ML and Math models in Python.

• Conduct systems tests for security, performance, and availability.

• Develop and maintain the design and troubleshooting/error documentation.

• Create cost effective scalable systems and develop innovative algorithm solutions.

Operations Research

• Familiar with modelling problems as mathematical programming, constraint satisfaction, particle swarm optimization and other appropriate OR methodologies.

• Familiar with tools such as C-Plex, Gurobi, Google OR-Tools.

Decision intelligence

• Drive decision science aspects as a standard user experience -staff or customer- process (cognitive biases, cross-cultural reasoning, statistical interpretation, human factor impact, algorithmic bias etc.).

• Actively showcase the added value of design thinking, data-driven decisions, agile and user-centric methods.

• Support research (user and markets) and data processes for enhanced decision quality.

 Bachelor’s degree in Computer Science, Information technology or a related discipline (e.g., Mathematics or Engineering) with 06 years or relevant work experience. Post-graduate degree in a relevant field would be an asset

 Two years college diploma in Computer Science, Information technology or a related discipline (e.g., Mathematics or Engineering) with 08 years of relevant work experience.

 Specialized certificate/ license in the related field with aviation experience & Secondary school certificate and having 12 years of relevant work experience (For Internal Candidates Only).

Python, R, SAS or other statistical software experience.

Proficiency in English (must) and Arabic (preferred).