About this opportunity
DataJobs lists this Senior Data Scientist - Demand Planning and Forecasting opportunity in nashville, Tennessee. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
Requirements
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
Technologies
Python
SQL
Machine learning
Time-series forecasting
Statistical modeling
Optimization
SimulationAI/ML
AI agents
GenAI/LLMs
Preferred Qualifications
Experience with demand planning or forecasting for hardware, cloud infrastructure, networking, semiconductor, or data center environments
Experience with SKU-level demand, BOMs, product lifecycles, 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, optical transceivers, cables, or related components
Experience with advanced forecasting methods including probabilistic forecasting, hierarchical forecasting, causal modeling, gradient boosting, deep learning, or other ML techniques
Experience with scenario modeling, optimization, simulation, or capacity planning
Experience building production-quality data pipelines, analytical datasets, or forecasting platforms
Experience with cloud data platforms, distributed data processing, or large-scale analytics
Experience applying GenAI/LLMs or AI agents to analytics, forecasting, or planning workflows
Experience communicating analytical results and recommendations to senior engineering, business, or executive audiences
Location: Nashville, TN (onsite)
Minimum experience: 5 years
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Worksite address
nashville, TN, 37247, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.