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 advanced analytics and AI adoption. Apply strong data validatio