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 AIML 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 enhancements
Required Qualifications
Advanced Degree in Statistics Operations Research Computer Science Mathematics or Machine Learning
Proven ability to apply modeling and analytical skills to realworld problems
Knowledge of machine learning techniques clustering decision tree learning artificial neural networks etc and statistical concepts regression properties of distributions statistical tests etc
Solid programming skills 23 languages out of R SQL Python TensorFlow PySpark Java JavaScript or C
Absolutely must have graduate school level knowledge of Revenue Management models and algorithms
Experience minimum 4 out of 7 with deployment of machine learning and statistical models on a cloud
1 MLOps within the enterprise CICD process for ML models 2 years
2 Experience deploying ML APIs in production environments in GCP using GKE 2 years
3 Experience in using GCP Vertex AI for ML and BigQuery 1 year
4 Knowledge in Terraform and Containers technologies 2 years
5 Experience writing data processing jobs using GCP Dataflow and Dataproc 2 years
6 Experience setting up ML model monitoring and autoscaling for ML prediction jobs 1 year
7 Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store Artifacts Registry and Analytics Hub 1 year
Desirable Qualifications
Familiarity with airline hospitality or retailing industries and decision support systems employed there