Principal Data Scientist, Supply Chain Operations

Oracle

Confirmed live 2 days ago High trust

Quick summary

Work type: On-site
Location: Nashville, TNAustin, TX
Salary: $114,600–$234,600 / yr
Posted: 21 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $164k

This role $175k

$98k most similar roles pay here $249k

This role pays more than 65% of similar roles. Most pay $131,437–$196,387 — the shaded band above. At the midpoint, this role pays about $175k versus about $164k 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 781 open roles on FindRole.

Listed pay typically runs $102,300–$209,500 across 713 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist, Supply Chain Operations

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Principal Data Scientist – Supply Chain Operations serves as a senior individual contributor within the supply chain operations team. This role focuses on accelerating digital transformation by designing, developing, and implementing advanced data platforms, AI-enabled automation, predictive analytics, and operational intelligence solutions. The successful candidate will build machine learning models for forecasting and inventory optimization, develop robust data pipelines, and create automated workflows to eliminate manual processes across manufacturing, logistics, and procurement functions. Key technical requirements include proficiency in SQL and Python, experience with ETL/ELT pipelines, and knowledge of AI/ML techniques. Additionally, the role utilizes tools like Oracle Analytics Cloud, Tableau, or Power BI. The position addresses complex supply chain challenges by providing end-to-end visibility into performance, managing capacity, and translating intricate operational data into actionable insights to improve efficiency across global operations.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

Skills

Python SQL Oracle Cloud Infrastructure Machine Learning Predictive Analytics ETL ELT Data Modeling Oracle Analytics Cloud Tableau Power BI Distributed Systems Data Engineering Automation Frameworks Oracle Fusion Cloud Applications

What you'll do

Design 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 reporting and advanced analytics.
Create operational dashboards, KPI frameworks, and control towers to provide end-to-end visibility.
Develop intelligent alerting mechanisms to proactively identify risks, exceptions, and bottlenecks.
Integrate data across Oracle Fusion Cloud Applications and other enterprise systems.
Translate complex operational data into actionable insights for both technical and business stakeholders.
Document technical designs and data models to ensure long-term scalability and system maintainability.

What we're looking for

Bachelor's Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
Master's Degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
8 years of experience in data science, machine learning, data engineering, or a related field.
3 to 5+ years of experience in data engineering, analytics, automation, AI/ML, or related technical roles.
Proficiency in SQL and Python for data engineering, automation, and analytics.
Experience with ETL/ELT pipelines, data modeling, orchestration frameworks, and cloud-based platforms.
Experience with business intelligence tools such as Oracle Analytics Cloud, Tableau, or Power BI.
Ability to communicate technical concepts to both technical and business audiences.

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