Sr. Data Scientist Enterprise Data Intelligence

Requirements

• Design and implement predictive models and machine learning algorithms for student outcomes, budgeting, staffing, and resource planning.
• Analyze districtwide data to support equity tracking, chronic absenteeism, enrollment forecasting, and SPED identification trends.
• Integrate data from Microsoft Fabric, SIS, ERP, and external datasets to answer complex research questions.
• Develop simulations and decision support tools to guide executive and board-level planning.
• Present findings using compelling visuals and narratives tailored to non-technical audiences.
• Partner with academics, operations, and finance to align data insights with real-world decisions.
• Maintain reproducible research workflows and ensure compliance with data governance policies.
• Collaborate with data architects and engineers to ensure model-ready datasets are accurate and current.
• Mentor analysts and support the expansion of data fluency across departments.
• Perform other job-related duties as assigned.

Benefits

• Paid Time Off
• Health Insurance
• Retirement Plan