This role pays less than
66%
of similar roles. Most pay
$126,800–$200,596
— the shaded band above.
At the midpoint, this role pays about
$152k
versus about
$164k
for comparable roles.
Based on 240 similar postings.
Employer
About Microsoft
Microsoft Corporation is a global technology leader producing software, hardware, and cloud services including Windows, Office 365, Azure cloud platform, Xbox gaming, and Surface devices. Industry: Software & Cloud Computing
Microsoft currently has
728 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 664 roles with salary data.
As a Data Scientist at Microsoft's Cloud and AI Platforms Monetization team, you will drive yield optimization strategies for Azure infrastructure by analyzing large-scale datasets to identify patterns and trends that enhance resource utilization and cost efficiency. Your day-to-day responsibilities include developing machine learning models to optimize pricing and resource allocation, collaborating with cross-functional teams such as engineering and finance to align monetization strategies with business goals, and conducting experiments to validate hypotheses using causal inference techniques. You will also create data visualizations for monitoring trends and translating insights into actionable recommendations. Ideal candidates possess a strong background in data science, mathematics, or related fields, along with experience in Python, R, Azure Machine Learning, and working with large-scale distributed systems. This role requires expertise in yield management, pricing optimization, and cloud resource allocation to address complex business challenges at scale.
Python
SQL
Azure
Responsible AI
DevOps
Version Control
Testing
Agentic AI
Machine Learning
Generative AI
Prompt Engineering
Large Language Models
Data Visualization
Cloud Platforms
CI/CD