Senior Data Scientist, AI-Driven Supply Chain Ops

Oracle; Nashville (TN); On-site; USD 101,000 - 210,000; Full time

Job summary

Oracle Cloud Infrastructure in Nashville/Austin is seeking a Sr. Data Scientist – Supply Chain to accelerate digital transformation across OCI's global supply chain.

You will design and implement data platforms, AI automation, predictive analytics, and operational intelligence to boost efficiency and scalability. You will partner with Supply Planning, Manufacturing, Sourcing, Logistics, and Engineering to build intelligent automation, ML models, and data products for proactive supply chain

Qualifications

• 3–5+ years in data engineering, analytics, automation, or related roles.
• Experience building scalable data pipelines and analytics platforms.
• Proven ability to deliver data products and dashboards for cross-functional teams.
• Experience applying predictive analytics or ML to operations.
• Ability to lead complex initiatives independently.

Responsibilities

• Design, build, and maintain scalable data automation solutions for OCI's supply chain.
• Develop AI and ML models to improve forecasting, inventory, and logistics.
• Create data products and intelligent workflows to reduce manual tasks.
• Build dashboards and self-service analytics for global operations.
• Collaborate with cross-functional teams to deploy data platforms.

Skills

SQL & Python

ETL/ELT pipelines

AI/ML techniques

BI tools

Data governance

Cloud architectures

Forecasting

Education

Bachelor's degree in Data Science/CS/Math

Master's degree in Data Science/CS/Math

Tools

Oracle Analytics Cloud

Tableau

Power BI

Job description

Oracle Cloud Infrastructure in Nashville/Austin is seeking a Sr. Data Scientist – Supply Chain to accelerate digital transformation across OCI's global supply chain.

You will design and implement data platforms, AI automation, predictive analytics, and operational intelligence to boost efficiency and scalability. You will partner with Supply Planning, Manufacturing, Sourcing, Logistics, and Engineering to build intelligent automation, ML models, and data products for proactive supply chain