Microsoft
Senior Economist
$120K–$261K
United States +5 · On-site · Senior · Full-time · Posted Oct 9, 2026
- Location
- United States
New York, NY
Chicago, IL
San Francisco, CA
Seattle, WA
Boston, MA - Experience
- Bachelor's: 4+ years; master's: 3+ years; doctorate: 1+ year related experience, or equivalent experience. Additional qualifications include 4+ years applying quantitative methods to complex decisions, 3+ years scientific computing, and 3+ years applied research.
- Education
- Bachelor's, master's, or doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field; or equivalent experience. Doctorate in Economics or a related quantitative field preferred.
About the job
Analyzes operational efficiency in Microsoft Security, using economic and quantitative methods to guide resource allocation, product decisions, and executive action.
What you'll do
- Identify efficiency opportunities and frame them as research questions answerable with data and theory.
- Estimate causal effects and formulate resource allocation decisions as optimization problems; develop measures linking resource use to business outcomes.
- Partner with product and engineering to collect data, implement decision tools, measure impact, and communicate findings to executives.
What they ask for
- Bachelor's degree in a listed or related field and 4+ years of related experience; or master's degree and 3+ years; or doctorate and 1+ year; or equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check.
Nice to have
- 4+ years applying economics, statistics, causal inference, or optimization to complex decisions.
- 3+ years scientific computing with R or Python, including Statsmodels, EconML, or DoubleML.
Pay
USD $119,800 - $234,700 per year (base salary); USD $160,200 - $261,000 per year (base salary)
Tools
R, Python, Statsmodels, EconML, DoubleML
AI focus
Assesses where less expensive AI models can achieve the same business outcomes and optimizes GPU capacity and other resources.
Model-written summary · the original posting is authoritative