Data Scientist II

The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data-driven solutions that improve business performance and decision-making. This role builds and deploys predictive and LLM-based models using modern tools (CI/CD, Airflow), develops impactful insights through strong analytics and Power BI visualizations, and partners with stakeholders to identify high-value opportunities. The ideal candidate has strong analytical skills, a keen eye for data, and a passion for applying AI to real-world problems. Key Objectives:

• Deliver measurable business impact using machine learning and GenAI/LLM-driven solutions.
• Improve operational performance through scalable, production-ready analytics.
• Develop and maintain a suite of Power BI reports and dashboards to enable informed, data-driven business decisions.
• Enable smarter decision-making through data storytelling and visualization.
• Identify and implement high-value GenAI use cases across the organization.
• Promote responsible and effective use of AI and advanced analytics.
• Mentor junior team members and help elevate overall team capabilities.

Essential Duties & Responsibilities

• Analyze and integrate large, complex datasets from multiple sources, with cloud environments preferred.
• Design, build, and deploy machine learning models and LLM-powered solutions.
• Develop GenAI use cases such as text classification, embeddings, summarization, and decision-support tools.
• Productionize models using CI/CD pipelines and orchestrate workflows using Airflow DAGs.
• Monitor model performance, maintain documentation, and support governance, reliability, and ongoing model maintenance.
• Translate analytical findings into clear and actionable business insights for technical and non-technical audiences.
• Build dashboards and visualizations using Power BI to track KPIs, trends, and model outcomes.
• Partner with stakeholders to identify opportunities for