Senior Data Scientist: Forecasting for Hardware & Data Centers

Oracle; Seattle (WA); On-site; USD 102,000 - 210,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

401(k) with match

Paid Time Off

Parental Leave

Job summary

Oracle is seeking a Senior Data Scientist to build data-driven forecasting and analytics for networking hardware and data center infrastructure planning. The role blends data science, demand forecasting, planning, and cloud infrastructure, with close collaboration across Demand Planning, Networking Engineering, Data Center Planning, Supply Chain, Product, and Finance teams.

You will develop models, improve demand signals, and translate analytics into actionable planning recommendations while

Qualifications

• 5+ years of experience in data science, forecasting, or demand analytics.
• Strong Python and advanced SQL skills with real-world data sets.
• Proven ability to translate business questions into quantitative models.

Responsibilities

• Develop and maintain demand forecasting models for networking hardware and data center planning.
• Analyze historical demand, deployment trends, and signals to identify drivers.
• Build time-series, statistical, and ML forecasting approaches for multiple scenarios.
• Measure forecast accuracy, bias, and stability across horizons.
• Create scalable data pipelines and dashboards for visibility into demand trends.

Skills

Python

SQL

Forecasting

Data analysis

Machine learning

Stakeholder communication

Education

Bachelor's or Master's in a quantitative field

Statistics or data science background

Tools

Python (pandas, scikit-learn)

SQL databases

Job description

Oracle is seeking a Senior Data Scientist to build data-driven forecasting and analytics for networking hardware and data center infrastructure planning. The role blends data science, demand forecasting, planning, and cloud infrastructure, with close collaboration across Demand Planning, Networking Engineering, Data Center Planning, Supply Chain, Product, and Finance teams.

You will develop models, improve demand signals, and translate analytics into actionable planning recommendations while