- Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, Machine Learning or related Quantitative disciplines.
- Proven ability to apply modeling and analytical skills to real-world problems.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Solid programming skills with knowledge of R, SQL, Python, PySpark or other data-extraction and analysis tools and programming languages such as Java, JavaScript or C++.
- Experience with deployment of machine learning and statistical models on a cloud and leveraging services like Amazon SageMaker and Amazon Forecast.
- Knowledge of airline revenue management algorithms and experience of developing demand forecasting and price optimization models
- Familiarity with airline, hospitality or retailing industries and decision support systems employed there.
- Experience developing customer choice models, price elasticity estimation and market potential estimation.
- Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts.
,[Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable prediction of customer behavior and operations performance., Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques., Develop custom data models and algorithms to apply to data sets and run proof of concept studies., Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms., Collaborate with software engineers to implement and test production quality code for forecasting and data analytics models., Develop processes and tools to monitor and analyze data accuracy and models’ performance., Demonstrate software to customers and perform value proving benchmarks. Calibrate software for customer needs and train customer for using and maintaining software., Resolve customer complaints with software and respond to suggestions for improvements and enhancements.] Requirements: Python, Analytical skills, SQL, PySpark, Java, JavaScript, C++, Machine learning Additionally: Sport subscription, Private healthcare.
PySpark Artificial Neural Network (ANN) statistics mathematics Python Data Science Continuous improvement Computer Science R JavaScript C++ validation cloud-computing cluster-analysis SQL Process improvement Machine Learning Java regression deployment Statistical tools Amazon SageMaker algorithms Software Developer