About this opportunity
Oracle 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
hackajob is collaborating with Oracle to connect them with exceptional professionals for this role.
About the team
With a minimal degree of oversight, contributes to using advanced experimental design, statistics, technologies, and (e.g., machine learning, natural language processing) to discover and understand data patterns and trends to generate actionable insights and solutions for client services, product enhancement, and business impact.
Description
About the Role
We are looking for a Senior Data Scientist to develop data-driven forecasting and analytics solutions for networking hardware and data center infrastructure planning.
This role sits at the intersection of data science, demand forecasting, planning, and cloud infrastructure. You will work with large and complex datasets to understand demand drivers, develop forecasting models, improve the quality of the demand signal, and provide analytical insights that support hardware procurement, capacity planning, and data center build decisions.
The role is highly hands-on. You will work closely with Demand Planning, Networking Engineering, Data Center Planning, Supply Chain, Product, and Finance teams to turn business and engineering questions into analytical models and actionable insights.
Responsibilities
* Develop and maintain demand forecasting models for networking hardware and data center infrastructure across short- and long-term planning horizons.
* Analyze historical demand, deployment trends, data center build plans, engineering inputs, product roadmaps, and other signals to identify key demand drivers.
* Develop time-series, statistical, machine learning, and other forecasting approaches appropriate for different products and planning scenarios.
* Measure and improve forecast accuracy, bias, stability, and confidence across products and planning horizons.
* Build analytical models to evaluate base, upside, downside, and what-if scenarios and quantify their impact on hardware demand.
* Partner with demand planners to translate analytical outputs into practical planning recommendations and improve forecasting processes.
* Develop models that connect data center builds, deployment plans, network capacity, product requirements, BOMs, and SKU-level demand.
* Investigate anomalies and changes in the demand signal, including unexpected demand shifts, duplicate signals, missing data, and inconsistent planning assumptions.
* Build scalable datasets and analytical pipelines using SQL and Python to support forecasting and planning workflows.
* Develop reusable analytical frameworks, dashboards, and tools that improve visibility into demand trends, forecast performance, and planning risks.
* Work with Data Engineering and other technical teams to improve data quality, data availability, and the reliability of planning data.
* Automate recurring analysis, forecasting, reconciliation, and reporting processes.
* Apply machine learning, optimization, simulation, and AI/ML techniques where they provide meaningful improvements to planning or decision-making.
* Communicate analytical findings clearly to planners, engineers, business partners, and senior leadership.
* Work independently on ambiguous problems, define the appropriate analytical approach, and drive projects from problem definition through implementation and adoption.
* Contribute to the development of modern, scalable data science and forecasting capabilities for demand planning.
Required Qualifications
* 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 quantitative discipline.
* Strong hands-on programming experience with Python and advanced SQL.
* Experience developing and deploying forecasting or predictive models using real-world business data.
* Strong understanding of statistical modeling, time-series forecasting, model evaluation, and experimental or analytical methodologies.
* Experience working with large and complex datasets and performing data exploration, feature engineering, modeling, and analysis.
* Experience translating business or operational problems into quantitative models and actionable recommendations.
* Experience working with planning, supply chain, capacity planning, demand forecasting, or other operational decision-making processes.
* Strong communication skills and the ability to work effectively with both technical and non-technical stakeholders.
Preferred Qualifications
* Experience with demand planning or forecasting for hardware, cloud infrastructure, networking, semiconductor, or data center environments.
* Experience working 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 machine learning 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.
Qualifications
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $100,700 to $209,500 per annum. May be eligible for bonus and equity.
Oracle maintains broad salary ranges for its roles in order to
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.