Data Scientist role focused on solving complex business problems through data-driven solutions and AI. The position partners with senior leaders to define problems, build predictive models, and shape a modern analytics platform on Microsoft Fabric. The role offers a clean slate to influence data strategy and deliver high-impact insights. Key Responsibilities: • Define and scope business problems in partnership with stakeholders and VPs • Develop and deploy statistical, predictive, and machine learning models in Python and SQL • Build and maintain data pipelines and transformations for analytics and AI • Collaborate with Data Engineering to design and implement the Microsoft Fabric data warehouse • Establish model development, documentation, and monitoring standards • Translate model insights and tradeoffs to nontechnical business leaders • Assist in building semantic models and Power BI dashboards • Participate in agile development cycles using Azure DevOps and GitHub Qualifications: • Proven track record of solving business problems with data and delivering data-driven solutions • Hands-on experience with statistical, predictive, or machine learning modeling • Strong Python and SQL skills for data transformation, analysis, and model development • Builder mindset comfortable with ambiguity and building foundational platforms • Excellent communication skills for explaining models and findings to business leaders Preferred Skills: • Power BI semantic modeling and DAX • Microsoft Fabric notebooks, lakehouses, and Fabric apps • Generative AI and LLM experience, including data agents and conversational analytics • Pricing optimization or win/loss modeling expertise • Operational forecasting experience, such as work-order or parts forecasting • Git, Azure DevOps, and CI/CD practices