Senior Data Scientist Demand Planning and Forecasting

Description

About the Role
We are looking for a Senior Data Scientistto 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 modelsfor 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 approachesappropriate 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 scenariosand 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 Pythonto 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 techniqueswhere 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 capabilitiesfor demand planning.

• Bachelors or Masters degree in Computer Science Statistics Mathematics Data Science Engineering Operations Research Economics or a related quantitative field.

• 5 years of experiencein data science applied science forecasting demand planning analytics operations research or a related quantitative discipline.

• Strong hands-on programming experience with Pythonand advanced SQL.

• Experience developing and deploying forecasting or predictive modelsusing 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.

• 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 agentsto 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: $100700 to $209500 per annum. May be eligible for bonus and equity.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge skills experience market conditions and locations as well as reflect Oracles differing products industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical dental and vision insurance including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
As part of Oracles onboarding process and consistent with applicable law US-based employees are required to complete identity verification which involves the collection and processing of their biometric information. Accommodations to this requirement may be granted following an individualized assessment.