Data Scientist

5 + years of work experience

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 in 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. Experience deploying ML APIs in production environments in GCP using GKE
3. Experience in using GCP Vertex AI for ML and BigQuery
4. Knowledge in Terraform and Containers technologies
5. Experience writing data processing jobs using GCP Dataflow and Dataproc
6. Experience setting up ML model monitoring and autoscaling for ML prediction jobs
7. Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry, and Analytics Hub