below marketmost similar roles pay hereabove market
This role pays more than
64%
of similar roles. Most pay
$162,000–$232,850
— the blue band above.
At the midpoint, this role pays about
$209k
versus about
$197k
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
694 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 651 roles with salary data.
As a Principal Data Scientist - AI Infrastructure, you will join the AI Infrastructure Data team to own the end-to-end delivery of strategic data science projects. You will partner with customers and internal teams to design and implement advanced analytics and AI solutions that improve reliability, efficiency, capacity planning, and customer outcomes across AI systems. Your daily work involves turning fleet-scale telemetry, experimentation, and partner requirements into actionable decisions. You will acquire, clean, and prepare large datasets to build and deploy predictive and prescriptive models using modern machine learning techniques. Key skills include proficiency in Python, SQL, and cloud platforms like Azure. You must also apply Responsible AI principles, including fairness and transparency, while collaborating with Data Engineers and Software Engineers to manage hyperscale datasets and production deployments.
What does a Data Scientist earn?
Median $173200 from 338 postings across 66 companies.
Own end-to-end delivery of strategic data science and AI solutions for high-impact business projects.
Translate complex business problems into actionable AI-driven solutions and technical requirements.
Acquire, clean, and prepare large-scale telemetry datasets for predictive and prescriptive modeling.
Build and deploy scalable machine learning models using modern techniques in production environments.
Present findings to senior stakeholders using compelling storytelling and data visualizations.
Act as a trusted advisor to internal teams to ensure solutions meet specific business needs.
Promote responsible AI practices including fairness, transparency, and explainability in all model development.
Analyze fleet-scale telemetry to improve reliability, efficiency, and capacity planning for AI systems.
What we're looking for
Hold a Doctorate and 3+ years of data science experience, a Master's and 5+ years, or a Bachelor's and 7+ years of experience.
Possess equivalent experience in managing structured and unstructured data, applying statistical techniques, and reporting results.
Ability to meet Microsoft, customer, and/or government security screening requirements, including the Microsoft Cloud Background Check.
Proficiency in Python and SQL (preferred).
Experience with cloud platforms, specifically Azure (preferred).
Proven consulting and stakeholder engagement skills with the ability to influence decisions (preferred).
Knowledge of Responsible AI principles and ethical data practices (preferred).
Experience with software engineering lifecycle practices, including version control, testing, DevOps, and production deployment of ML solutions (preferred).
Data Science
Python
SQL
R
Azure Data Explorer
Kusto
Power BI
Fabric
Azure Databricks
Azure Machine Learning
Generative AI
Anomaly Detection
Forecasting
Operations Research
Cloud Infrastructure
Datacenter Capacity Planning
Data Science
Machine Learning
AI
Statistics
Econometrics
Forecasting
scenario-planning
Structured Data
Unstructured Data
Recommendation Systems
Search
Monetization Analytics
Business Analytics
Data-Driven Storytelling
Python
SQL
AWS
Spark
H2O
Deep Learning
Natural Language Processing
Conda
Machine Learning
Statistical Modeling
Clustering
Classification
Time Series
Sentiment Analysis
Big Data