At SK, we provide opportunities to deserving talent in multiple areas of expertise. We as a team are committed to overall growth of the individual alongwith the organization by delivering unmatched customer experience.
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.
• 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.
• 2 - 4 years experience
• 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.
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