Data Scientist with Airline Revenue exp

Data Science Engineer - Remote

Responsibilities
? 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 AI/ML 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 real-world 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 2-3 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:
? MLOps within the enterprise CI/CD process for ML models ? 2 years
? Experience deploying ML APIs in production environments in GCP using GKE ? 2 years
? Experience in using GCP Vertex AI for ML and BigQuery ? 1 year
? Knowledge in Terraform and Containers technologies ? 2 years
? Experience writing data processing jobs using GCP Dataflow and Dataproc ? 2 years
? Experience setting up ML model monitoring and autoscaling for ML prediction jobs ? 1 year
? 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.
? 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.