Data Scientist II: AI-Driven Supply Planning

SEAGATE SINGAPORE INTERNATIONAL HEADQUARTERS PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading global data solutions provider is hiring a Data Scientist II in Singapore to enhance supply planning through AI and ML technologies. The role involves developing predictive models, conducting data analysis, and collaborating with teams across multiple countries. Candidates should possess a Bachelor's degree in relevant fields and have strong skills in Python, SQL, and machine learning libraries. The position emphasizes cross-regional communication and teamwork in a dynamic environment.

Qualifications

• 3 years of experience in data science, analytics, or supply chain modeling.
• Strong understanding and ability to communicate across regions and time zones.
• Experience with cloud platforms and data pipeline tools is a plus.

Responsibilities

• Develop and validate predictive models and optimization algorithms.
• Build scenario planning tools and simulations for planning decisions.
• Conduct exploratory data analysis using large-scale datasets.
• Collaborate with teams to integrate models into enterprise systems.
• Document methodologies and validate model performance.
• Contribute to sharing reusable components in the AI Hub.

Skills

Python

SQL

Machine Learning Libraries

Data Visualization Tools

Statistical Modeling

Forecasting Techniques

Optimization Techniques

Supply Chain Concepts

Strong Communication Skills

Education

Bachelor’s degree in Data Science, Statistics, Computer Engineering, or Supply Chain Management

Tools

Pandas

Scikit-learn

TensorFlow

Tableau

AWS

Azure

Job description

A leading global data solutions provider is hiring a Data Scientist II in Singapore to enhance supply planning through AI and ML technologies. The role involves developing predictive models, conducting data analysis, and collaborating with teams across multiple countries. Candidates should possess a Bachelor's degree in relevant fields and have strong skills in Python, SQL, and machine learning libraries. The position emphasizes cross-regional communication and teamwork in a dynamic environment.