Decision-Driven Data Scientist | Azure ML & Production

Scan Global Logistics; Metro Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Scan Global Logistics is seeking a data scientist to work on the Microsoft data platform, from framing a business question to deploying and monitoring a model in production. You will present results to non-technical stakeholders across logistics, finance and commercial teams.

Responsibilities include building models in Azure ML and Fabric, engineering data pipelines with Python/SQL, deploying with MLflow and monitoring for drift, and communicating findings via Power BI to drive actionable

Qualifications

• Degree in data science, statistics, CS, math or related quantitative field.
• Certifications in Azure data science or AI engineering are a plus.
• Minimum of 3 years applying ML methods to business problems.

Responsibilities

• Frame business questions with stakeholders and build/validate/deploy models in Azure ML and Fabric.
• Engineer features and data pipelines over lakehouse/warehouse using Python and SQL.
• Deploy models with MLflow and managed endpoints; monitor drift and data quality.

Skills

Python

SQL

Power BI

Communication

Business framing

Education

Master's or Bachelor's in data science or quantitative field

Microsoft Certified: Azure Data Scientist Associate

3+ years applying ML to business problems

Tools

Azure Machine Learning

Microsoft Fabric

MLflow

Job description

Scan Global Logistics is seeking a data scientist to work on the Microsoft data platform, from framing a business question to deploying and monitoring a model in production. You will present results to non-technical stakeholders across logistics, finance and commercial teams.

Responsibilities include building models in Azure ML and Fabric, engineering data pipelines with Python/SQL, deploying with MLflow and monitoring for drift, and communicating findings via Power BI to drive actionable