Data Scientist

• As a data scientist you shall interface with clients and internal stakeholders to support ML projects.
• You shall work on use cases, build solutions involving regression, time series, clustering, classification, anomaly detection with traditional ML and DL approaches.

Roles & Responsibilities

• Understand MLOps concepts, building solutions for live deployment and CI/CD.
• Familiar with cloud platforms such as Azure, GCP, or AWS.
• Experience in ML projects involving statistical techniques: Regression, Time Series, Clustering, Classification, Dimension Reduction, Anomaly detection with traditional ML approaches and DL approaches.
• Operations on Docker, Kubernetes, ability to manage data science application deployments in cloud / on-premise.

• Proficient in Python / R
• Efficient in SQL
• Experience in statistics, probability distributions, A/B testing validation, univariate / multivariate analysis, hypothesis test for different purposes, data augmentation etc.
• Exposure to Gen AI tools and enthusiastic about experimenting and having new ideas on what can be done.