below marketmost similar roles pay hereabove market
This role pays more than
75%
of similar roles. Most pay
$135,000–$176,312
— the blue band above.
At the midpoint, this role pays about
$177k
versus about
$156k
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
648 open roles
on FindRole.
Listed pay typically runs
$119,800–$234,700
across 624 roles with salary data.
JOB TITLE: Senior Economist
The Senior Economist joins the Economics and Analytics team within the Security division to improve operational efficiency. This role involves identifying opportunities to enhance efficiency by formulating scientific questions and estimating the causal effects of product, operational, and resource-allocation decisions on costs, utilization, and revenue. You will build optimization problems, define measures connecting compute and capacity to business outcomes, and translate analytical findings into forecasting tools and decision rules. The position requires expertise in economics, statistics, causal inference, and optimization. You will utilize R and Python, including frameworks like Statsmodels, EconML, and DoubleML, to analyze large-scale datasets. Key responsibilities include optimizing GPU capacity, evaluating AI model costs, and communicating complex technical research through clear reports for executive consumption within the security domain.
Identify operational efficiency opportunities and formalize them into scientific questions using data and theory.
Estimate causal effects of product and resource-allocation decisions on costs, utilization, and revenue.
Formulate resource allocation decisions as mathematical optimization problems.
Define metrics connecting resource usage, such as tokens and compute, to business outcomes.
Determine micro-level units of analysis to support actionable product and resource-allocation decisions.
Partner with engineering teams to instrument and collect necessary data for analysis.
Translate analytical findings into decision rules, forecasting tools, and optimization systems.
Write clear, accessible reports to communicate complex analytical findings to executives.
What we're looking for
Bachelor's degree in a quantitative field with 4+ years of experience, Master's with 3+ years, or Doctorate with 1+ year of experience.
Equivalent experience in statistics, predictive analytics, or research is accepted.
Ability to pass Microsoft and Microsoft Cloud background security screenings.
4+ years of experience applying economics, statistics, causal inference, or optimization to complex business, policy, or product decisions (preferred).
3+ years of experience with scientific computing using R or Python, including frameworks like Statsmodels, EconML, or DoubleML (preferred).
3+ years of experience conducting applied research in academic or industry settings (preferred).
Doctorate in Economics or a related quantitative field with a focus on microeconomics, econometrics, optimization, or causal inference (preferred).
Experience working with large-scale datasets and data processing tools to develop quantitative models or research insights (preferred).
Python
R
Spark
pandas
dplyr
polars
Machine Learning
Causal Inference
Econometrics
Difference in Differences
Matching
Synthetic Control
Double Machine Learning
Data Manipulation
Big Data
Structural Demand Estimation
market design
SQL
Google Cloud Platform
Data Governance
Data Lakehouse
Financial Modeling
Data Quality
Trend Analysis
Forecasting
Claims Data
Web-based Query Tools
Data Strategy
Materiality Metrics
ACAS
HRP
QNXT
Machine Learning
Artificial Intelligence
Python
R
SQL
NoSQL
Statistics
Data Mining
Data Engineering
Data Warehousing
Hadoop
Spark
Kafka
Hive
EMR
MapReduce
MySQL
Gurobi
Plotly
Seaborn
ggplot2
Probability Modeling
IoT
Statistics
Mathematics
Machine Learning
AI
Data Mining
Data Engineering
Data Warehousing
Probability Modeling
Information Science
Testing
Evaluation
Verification
Validation
AI Governance