Senior Data Scientist - Demand Planning and Forecasting

Oracle is hiring a Senior Data Scientist to build and improve demand forecasting and analytics for networking hardware and data center infrastructure planning in Nashville, TN.

• Develop and maintain demand forecasting models for networking hardware and data center infrastructure across short- and long-term planning horizons
• Analyze signals and inputs such as historical demand, deployment trends, data center build plans, engineering inputs, and product roadmaps to pinpoint key demand drivers
• Create forecasting solutions using time-series, statistical, machine learning, and other methods suited to different products and planning scenarios
• Evaluate forecast performance by measuring and improving accuracy, bias, stability, and confidence across products and horizons
• Build scenario analytics to estimate base, upside, downside, and what-if impacts on hardware demand
• Partner with demand planners to convert analytical outputs into actionable planning recommendations and strengthen forecasting processes
• Model demand end-to-end by connecting data center builds, deployment plans, network capacity, product requirements, BOMs, and SKU-level demand
• Investigate demand signal quality including anomalies, unexpected shifts, duplicate signals, missing data, and inconsistent planning assumptions
• Build scalable data assets by creating datasets and analytical pipelines using SQL and Python
• Deliver reusable tooling through analytical frameworks, dashboards, and tools for demand visibility, forecast performance, and planning risk
• Collaborate with Data Engineering and technical teams to improve data quality, data availability, and reliability of planning inputs
• Automate recurring workflows for analysis, forecasting, reconciliation, and reporting
• Apply advanced methods including machine learning, optimization, simulation, and AI/ML when they improve planning or decision-making
• Communicate results clearly to planners, engineers, business partners, and senior leadership
• Drive projects end-to-end on ambiguous problems by defining analytical approaches and supporting adoption
• Contribute to capability building for modern, scalable data science and forecasting for demand planning

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, Operations Research, Economics, or a related quantitative field
• 5+ years of experience in data science, applied science, forecasting, demand planning analytics, operations research, or a related discipline
• Strong hands-on programming with Python and advanced SQL
• Experience building and deploying forecasting or predictive models using real-world business data
• Strong foundations in statistical modeling, time-series forecasting, model evaluation, and experimental or analytical methodologies
• Experience with large datasets including data exploration, feature engineering, modeling, and analysis
• Ability to translate problems into quantitative models and actionable recommendations
• Experience in operational planning such as planning, supply chain, capacity planning, demand forecasting, or related decision processes
• Strong communication skills working with both technical and non-technical stakeholders

• Python
• SQL
• Machine learning
• Time-series forecasting
• Statistical modeling
• Optimization
• Simulation AI/ML
• AI agents
• GenAI/LLMs

• Experience with demand planning or forecasting for hardware, cloud infrastructure, networking, semiconductor, or data center environments
• Experience with SKU-level demand, BOMs, product life cycles, NPI, EOL/EOS, or hardware product transitions
• Experience connecting data center build plans or deployment schedules to hardware demand forecasts
• Experience with networking hardware such as switches, NICs, DPUs/SmartNICs,…