Job Description

Area(s) of responsibility

Role Overview

We are seeking a highly skilled Data Scientist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), and MLOps. The ideal candidate will be responsible for building scalable predictive models, driving advanced analytics, and operationalizing ML models in production environments. This role requires a deep understanding of statistical modeling, predictive analytics, and Python-based data ecosystems, with exposure to modern platforms such as Databricks Mosaic AI and Snowflake Cortex being an added advantage.

Key Responsibilities

• Design, develop, and deploy machine learning and AI models for real-world business problems.
• Perform advanced statistical analysis and build predictive models to derive actionable insights.
• Develop and implement end-to-end ML pipelines, including data ingestion, feature engineering, model training, validation, and deployment.
• Build and manage MLOps frameworks for continuous integration, delivery, monitoring, and model governance.
• Work closely with data engineering teams to ensure robust and scalable data pipelines.
• Conduct exploratory data analysis (EDA) and hypothesis testing to support data-driven decision-making.