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:

1. MLOps within the enterprise CI/CD 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 i...