below marketmost similar roles pay hereabove market
This role pays more than
76%
of similar roles. Most pay
$150,960–$208,800
— the blue band above.
At the midpoint, this role pays about
$209k
versus about
$180k
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
692 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 649 roles with salary data.
The Principal Data Scientist joins the MAI Ecosystem Data Science team to lead ecosystem-level measurement strategy across various AI-powered consumer experiences. In this role, you will develop scientific foundations for major AI investments by defining metrics, experimentation frameworks, and decision systems. You will perform ecosystem-level analyses and causal inference to uncover growth opportunities and quantify business impact while partnering with product, engineering, and executive leadership to influence resource allocation. The position requires expertise in statistics, experimentation, and large-scale data analysis using Python, R, C++, Java, or C#. You will manage structured and unstructured data to design North Star metrics and evaluation systems that measure user value and long-term ecosystem health, solving complex problems to drive product and business outcomes across the Microsoft AI ecosystem.
What does a Data Scientist earn?
Median $173200 from 344 postings across 66 companies.
Define measurement strategies, metrics, and decision frameworks for the Microsoft AI ecosystem.
Lead ecosystem-level analyses, experimentation, and causal inference to quantify business impact.
Design and evolve North Star metrics and evaluation systems to measure user value and ecosystem health.
Identify emerging market dynamics, risks, and opportunities before they appear in product-level metrics.
Partner with leadership to shape product roadmaps, strategy, and resource allocation.
Provide technical leadership and mentorship to establish best practices in measurement and data science.
What we're looking for
Must have a Doctorate and 3+ years of data science experience, a Master's and 5+ years, or a Bachelor's and 7+ years of experience.
Must have equivalent experience to the specified degree and years of experience requirements.
Must have experience managing structured and unstructured data, applying statistical techniques, and reporting results.
Must have 6+ years of experience in Python, R, C++, Java, C#, or similar programming languages (preferred).
Must have demonstrated expertise in statistics, experimentation, causal inference, and large-scale data analysis (preferred).
Must have experience developing metrics, evaluation frameworks, and measurement systems that drive product and business decisions (preferred).
Must have experience influencing product strategy and driving alignment among stakeholders through data-driven insights (preferred).
Must have experience leading large cross-functional initiatives and building production-scale data, analytics, or machine learning systems (preferred).
Data Science
Machine Learning
AI
Statistics
Econometrics
Forecasting
scenario-planning
Structured Data
Unstructured Data
Recommendation Systems
Search
Monetization Analytics
Business Analytics
Data-Driven Storytelling
Machine Learning
Deep Learning
Recommender Systems
Python
TensorFlow
PyTorch
Keras
SQL
AWS
Snowflake
Spark
Google Cloud
NLP
Reinforcement Learning
Causal Inference
Information Retrieval
Collaborative Filtering
Python
SQL
Spark
Databricks
MLOps
Generative AI
LLMs
CI/CD
GitHub Actions
MLflow
Arize AI
Unity Catalog
Predictive Analytics
Data Pipelines
Feature Engineering
Model Monitoring
Data Governance
Version Control
Anomaly Detection