Lead Data Engineer

Role: Lead Data Engineer With Airline Revenue Management Exp
Location: 100% Remote
Duration: 8 Months

Primary: Lead Data Science/Engineer data driven microservices product strategy product research airline retailing AI/ML Microservices airline pricing production level microservices GCP platform Python GO C Java airline forecasting dynamic pricing revenue management Infrastructure as a code PYTHON/ pyspark Pandas

Responsibilities:

• 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 inhouse 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.

Required Qualifications

• Advanced Degree in Statistics Operations Research Computer Science Mathematics Machine Learning or related Quantitative disciplines.
• Proven ability to apply modeling and analytical skills to realworld problems.
• Knowledge of a variety of machine learning techniques (clustering decision tree learning artificial neural networks etc.) and their realworld 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 dataextraction 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

Desirable Qualifications

• 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.

Team Lead :

• Diverse/complex work is completed under general direction diverse interactions; liaison.
• Manager sets the overall objectives and resources available. Employee carries out the assignment resolves most of the conflicts coordinates work with others and interprets policy on own initiative. Employee keeps the supervisor informed of progress potentially controversial matters or farreaching implications.