below marketmost similar roles pay hereabove 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.
JOB TITLE: Principal Data Scientist – Supply Chain Operations
The Principal Data Scientist – Supply Chain Operations serves as a senior individual contributor within the Data Automation team. This role focuses on accelerating the digital transformation of global supply chain operations by designing and implementing advanced data platforms, AI-enabled automation, and predictive analytics. You will build scalable data pipelines, machine learning models for inventory optimization and forecasting, and operational dashboards to improve decision-making across manufacturing, logistics, and sourcing. Key technical requirements include proficiency in SQL and Python, experience with ETL/ELT pipelines, and knowledge of AI/ML techniques. You will utilize tools like Oracle Analytics Cloud, Tableau, or Power BI to provide end-to-end visibility. The work involves solving complex supply chain challenges, including capacity management, supplier performance, and deployment readiness within a cloud infrastructure environment.
What does a Data Scientist earn?
Median $173200 from 338 postings across 66 companies.
Python
SQL
Machine Learning
Natural Language Processing
ETL
ELT
Data Modeling
Oracle Analytics Cloud
Tableau
Power BI
Oracle Fusion Cloud Applications
Predictive Analytics
Cloud Computing
Distributed Systems
Data Pipelines
Python
R
Java
SQL
Hive
Machine Learning
Deep Learning
Operations Research
Optimization
Simulation
Mixed-Integer Programming
Stochastic Dynamic Programming
Reinforcement Learning
Time Series Forecasting
Regression
Clustering
PCA
Data Structures
Algorithms
Python
SQL
Machine Learning
Artificial Intelligence
Large Language Models
Pandas
Scikit-learn
NumPy
API Development
Data Science
Generative AI
A/B Testing
Causal Inference
Data Pipelines
Deep Learning
Time Series Analysis
Business Intelligence
Data Governance