Data Scientist

Location: Ernākulam

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