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