Senior Data Scientist - Demand Planning and Forecasting

DataJobs; Nashville (TN); On-site; USD 120,000 - 160,000; Full time

Job summary

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

The role emphasizes developing forecasting models, analyzing signals, implementing time-series and ML methods, collaborating with demand planners, and delivering scalable data assets and dashboards. Onsite in Nashville; 5+ years experience; strong Python and SQL.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, OR Operations Research or related quantitative field.
• 5+ years of experience in data science, forecasting, demand planning analytics, or 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 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, or demand forecasting.
• Strong communication skills with both technical and non-technical stakeholders.

Responsibilities

• Develop and maintain demand forecasting models for networking hardware and data center infrastructure across short- and long-term horizons.
• Analyze signals and inputs to pinpoint key demand drivers.
• Create forecasting solutions using time-series, statistical, ML, and other methods.
• Evaluate forecast performance and improve accuracy, bias, and stability.
• Build scenario analytics to estimate base, upside, downside, and what-if impacts.
• Partner with demand planners to convert outputs into actionable recommendations.
• Model demand end-to-end by linking builds, deployment plans, capacity, BOMs, and SKU-level demand.
• Investigate demand signal quality including anomalies and missing data.
• Build scalable data assets by creating datasets and analytical pipelines using SQL and Python.
• Deliver reusable tooling via analytical frameworks, dashboards, and planning risk metrics.
• Collaborate with Data Engineering to improve data quality and availability.
• Automate recurring workflows for analysis, forecasting, reconciliation, and reporting.
• Apply advanced methods including ML, optimization, simulation, and GenAI when beneficial.
• Communicate results clearly to planners, engineers, business partners, and leadership.

Skills

Python programming

SQL

Communication skills

Quantitative modeling

Data storytelling

Operational planning

Education

Bachelor’s or Master’s degree in a quantitative field

Tools

Python

Advanced SQL

Machine Learning

Time-series forecasting

Optimization

Simulation

GenAI/LLMs

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