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.
The Principal Data Scientist – Supply Chain Operations joins the team to design, build, and maintain scalable data automation solutions for global supply chain operations. This role involves developing AI and machine learning models to improve forecasting, inventory optimization, and logistics execution while identifying opportunities to eliminate manual processes through predictive analytics. You will architect solutions for the entire model lifecycle, including training, deploying, and monitoring models. Key responsibilities include implementing ETL pipelines, developing dashboards, and creating KPI frameworks for real-time operational reporting. Required technical skills include proficiency in SQL and Python, experience with ETL/ELT pipelines, and knowledge of AI/ML techniques. You will also utilize tools like Oracle Analytics Cloud, Tableau, or Power BI to provide end-to-end visibility into manufacturing readiness and supplier performance.
What does a Data Scientist earn?
Median $173200 from 338 postings across 66 companies.
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