Data Scientist

Roles and Responsibilities :

• Design statistical, machine learning, and generative AI solutions for high-value use cases such as forecasting, classification, anomaly detection, recommendations, optimization, and text analytics.
• Use Microsoft Fabric to explore data, engineer features, train models, and track experiments with MLflow.
• Design experiments and evaluations, interpret results rigorously, and translate findings into trusted recommendations and measurable improvements.
• Support generative and agentic AI use cases by evaluating model behavior, improving prompts and grounding, and identifying where models, insights, or agents create value.
• Use Microsoft Foundry to prototype, test, optimize, and evaluate AI applications and agents using enterprise data, models, and tools.
• Ensure models and analytical products meet governance, privacy, lineage, and responsible AI requirements in collaboration with Purview and governance stakeholders.
• Contribute reusable assets such as feature logic, evaluation methods, notebooks, experimentation patterns, and documentation standards.