Principal Data Scientist, Supply Chain Operations

Oracle

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Quick summary

Work type
On-site
Location
Nashville, TNAustin, TX
Salary
$114,600–$234,600 / yr
Posted
67 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k
This role $175k
$100k $249k
below market most similar roles pay here above market

This role pays more than 60% of similar roles. Most pay $147,540–$205,512 — the blue band above. At the midpoint, this role pays about $175k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist, Supply Chain Operations

The Principal Data Scientist – Supply Chain Operations joins the Data Automation team to accelerate the digital transformation of global supply chain operations. As a senior individual contributor, you will design, develop, and implement advanced data platforms, AI-enabled automation, and predictive analytics to improve efficiency across manufacturing, sourcing, and logistics. You will build scalable data pipelines, machine learning models for inventory optimization, and operational dashboards to provide end-to-end visibility. Key technical requirements include proficiency in SQL and Python, experience with ETL/ELT pipelines, and knowledge of AI/ML techniques. You will also utilize business intelligence tools like Oracle Analytics Cloud, Tableau, or Power BI. This role solves complex supply chain challenges by translating operational data into actionable insights for proactive management of global infrastructure and deployment readiness.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

What you'll do

  • Design, build, and maintain scalable data automation solutions for global supply chain operations.
  • Develop AI and machine learning models to improve forecasting, inventory optimization, and logistics execution.
  • Build robust data pipelines and architectures to support real-time operational reporting and advanced analytics.
  • Create operational dashboards, KPI frameworks, and intelligent alerting mechanisms to identify risks and bottlenecks.
  • Integrate data across Oracle Fusion Cloud Applications, operational systems, and various cloud platforms.
  • Translate complex operational data into actionable insights for day-to-day execution and long-term planning.
  • Document technical designs, data models, and automation solutions to ensure long-term scalability.

What we're looking for

  • Applicants must be able to read, write, and speak English.
  • 7–10+ years of experience in data engineering, analytics, automation, AI/ML, or related technical roles.
  • Experience designing and developing scalable data pipelines, analytics platforms, and automation solutions.
  • Proven experience delivering data products and dashboards supporting cross-functional business operations.
  • Experience applying predictive analytics or machine learning to solve operational or supply chain challenges.
  • Strong proficiency in SQL and Python for data engineering, automation, and analytics.
  • Experience with ETL/ELT pipelines, data modeling, orchestration frameworks, and cloud-based data platforms.
  • Experience with business intelligence and visualization tools such as Oracle Analytics Cloud, Tableau, or Power BI.
  • Experience supporting supply chain, manufacturing, logistics, procurement, or cloud infrastructure operations (preferred).
  • Familiarity with Oracle Fusion Cloud Applications (SCM, Procurement, Planning, ERP) (preferred).
  • Experience working with cloud technologies and distributed systems architectures (preferred).

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