Senior Data Scientist, Supply Chain Operations

Oracle

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Nashville, TNAustin, TX
Salary
$100,700–$209,500 / yr
Posted
17 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 $161k
This role $155k
$87k most similar roles pay here $225k

This role pays less than 60% of similar roles. Most pay $127,400–$195,433 — the shaded band above. At the midpoint, this role pays about $155k versus about $161k 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

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Senior Data Scientist - Supply Chain Operations serves as an individual contributor within the supply chain operations team, 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 processes, 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 workflows and providing actionable insights for capacity planning and deployment readiness within a global infrastructure environment.

What does a Data Scientist earn?

Median $162025 from 276 postings across 61 companies.

See salary data

Skills

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

What you'll do

  • Develop AI and machine learning models to optimize forecasting, inventory, and supply planning.
  • Build scalable data pipelines and architectures to support real-time operational reporting.
  • Design automated workflows to eliminate manual processes across global supply chain operations.
  • Create dashboards and KPI frameworks to provide end-to-end visibility into supply chain performance.
  • Develop predictive models for scenario planning, capacity management, and supplier performance.
  • Implement 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.

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.
  • 3 to 5+ years of experience in data engineering, analytics, automation, AI/ML, or related technical roles.
  • 8 years of experience in data science, machine learning, data engineering, or a related field.
  • 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 AI/ML techniques, predictive analytics, and business intelligence tools like Oracle Analytics Cloud, Tableau, or Power BI.
  • Ability to communicate technical concepts to both technical and business audiences while influencing stakeholders.

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