Data Scientist – End-to-End ML & GenAI Solutions

About the role

We are seeking a Data Scientist to design, develop, and operationalize machine‑learning and generative‑AI solutions. You will work across the full data pipeline, from research and data collection to delivering production‑ready models that drive real business impact.

Key responsibilities

• Research, collect, and map diverse data sources.
• Perform exploratory data analysis, feature engineering, and statistical analysis.
• Select, develop, and train ML and GenAI models.
• Deploy models to production in collaboration with ML Engineering, DevOps, and development teams.
• Monitor model performance and drift, identify deviations, and retrain models as needed.
• Collaborate with business stakeholders, present insights, and translate results into actionable recommendations.
• Lead initiatives to improve ML/AI methodologies and processes.

Required profile

• B.Sc. or higher in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related field.
• 2+ years of professional experience as a Data Scientist.
• Strong hands‑on experience with Python and leading ML libraries.
• Strong SQL skills.
• Experience across the end‑to‑end ML lifecycle.

Required skills

• Python programming.
• SQL for data extraction and manipulation.
• ML libraries such as scikit‑learn, TensorFlow, and PyTorch.
• Data exploration and feature engineering.
• Statistical analysis and model evaluation.
• Model deployment and monitoring.