Senior Data Scientist, Supply Chain Operations

Oracle

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Nashville, TNAustin, TX
Salary
$100,700–$209,500 / yr
Posted
21 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $155k
$87k most similar roles pay here $227k

This role pays less than 60% of similar roles. Most pay $128,650–$197,100 — the shaded band above. At the midpoint, this role pays about $155k versus about $163k 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 · Senior Data Scientist, Supply Chain Operations

Senior Data Scientist - Supply Chain Operations serves as an individual contributor within the supply chain organization, focusing on accelerating digital transformation through advanced data solutions. The role involves designing and implementing scalable data platforms, AI-enabled automation, predictive analytics, and operational intelligence to improve efficiency across manufacturing, logistics, and procurement. You will build machine learning models for forecasting and inventory optimization while developing robust data pipelines and dashboards to provide end-to-end visibility into performance. Key technical requirements include proficiency in SQL and Python, experience with ETL/ELT pipelines, and knowledge of AI/ML techniques. The role also utilizes tools like Oracle Analytics Cloud, Tableau, or Power BI. This position addresses complex supply chain challenges by automating manual processes and providing actionable insights to manage risks and improve scalability across global operations.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

What you'll do

  • Design and build scalable data automation solutions and reusable frameworks to improve supply chain efficiency.
  • Develop machine learning models for forecasting, inventory optimization, and manufacturing readiness.
  • Build robust data pipelines and architectures to support real-time operational reporting and analytics.
  • Create dashboards, scorecards, and control towers to provide end-to-end visibility into supply chain performance.
  • Develop intelligent alerting mechanisms to proactively identify operational risks and bottlenecks.
  • Integrate data across Oracle Fusion Cloud Applications and other enterprise systems.
  • Translate complex operational data into actionable insights for stakeholders and long-term planning.
  • Document technical designs, data models, and automation solutions to ensure long-term scalability.

What we're looking for

  • Must have 3 to 5+ years of experience in data engineering, analytics, automation, AI/ML, or related technical roles.
  • Must have 8 years of experience in data science, machine learning, data engineering, or a related field.
  • Must possess a Bachelor's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
  • Must possess a Master's degree in Data Science, Mathematics, Statistics, Computer Science, or a related field.
  • Must be proficient in SQL and Python for data engineering, automation, and analytics.
  • Must have experience with ETL/ELT pipelines, data modeling, orchestration frameworks, and cloud-based data platforms.
  • Must have experience with AI/ML techniques, predictive analytics, and business intelligence tools like Oracle Analytics Cloud, Tableau, or Power BI.
  • Experience in supply chain, manufacturing, logistics, procurement, or cloud infrastructure operations is preferred.

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