Senior Data Scientist: Demand Forecasting for Hardware

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 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.