Senior Economist
Technology, Data & Digital · Data, AI & Analytics · Data Science · Business Intelligence · Data Analysis
In short
Responsibilities
- Discover opportunities to improve division efficiency and formalize them as scientific questions.
- Estimate causal effects of product, operational, and resource-allocation decisions on cost, utilization, customer outcomes, and revenue.
- Formulate resource allocation decisions as optimization problems.
- Define measures connecting resource usage (tokens, compute, capacity) to productive utilization and business outcomes.
- Determine the appropriate micro-level unit of analysis (feature, workflow, agent, or service) for efficiency signals.
- Collaborate with product and engineering to instrument and collect data.
- Translate analytical findings into decision rules, forecasting tools, and optimization systems.
- Partner with business, product, and engineering teams to implement and measure the impact of analytical findings.
- Write clear, accessible reports for executive consumption.
Requirements
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements.
- Microsoft Cloud Background Check required upon hire/transfer and every two years thereafter.
Desired Qualifications
- 4+ years of experience applying economics, statistics, causal inference, or optimization to complex business, policy, or product decisions.
- 3+ years of experience with scientific computing using R or Python, including frameworks such as Statsmodels, EconML, or DoubleML.
- Experience working with large-scale datasets and data processing tools to develop quantitative models, analyses, or research insights.
- 3+ years of experience conducting applied research in academic or industry settings, including formulating research questions and evaluating relevant literature.
- Doctorate in Economics or a related quantitative field preferred, particularly with a focus on applied microeconomics, econometrics, optimization, or causal inference.
- Demonstrated research impact through publications, patents, open-source libraries, or peer-reviewed academic work.
- Experience developing and deploying production systems or products, ideally across multiple stages of the product lifecycle from ideation through shipping.
- Knowledge of security-related domains, including threat intelligence, threat hunting, anti-fraud systems, and/or social engineering research.
- Strong written, verbal, and presentation skills, with the ability to translate complex technical or research concepts for a variety of audiences.
- Strong collaboration and partnership skills, with experience working across teams and guiding or mentoring less-experienced colleagues.
Benefits
- The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year.
- For San Francisco Bay area and New York City metropolitan area, the base pay range is USD $160,200 - $261,000 per year.
- Certain roles may be eligible for benefits and other compensation.
Skills
Every company has a mission. What's ours? To empower every person and every organization to achieve more. We believe technology can and should be a force for good and that meaningful innovation contributes to a brighter world in the future and today. Our culture doesn’t just encourage curiosity; it embraces it. Each day we make progress together by showing up as our authentic selves. We show up with a learn-it-all mentality. We show up cheering on others, knowing their success doesn't diminish our own. We show up every day open to learning our own biases, changing our behavior, and inviting…
Company
MicrosoftJob Posted
2 weeks ago
Employment Type
Full Time
Work mode
Remote
Salary
US$119,800–234,700 · Negotiable
Experience Level
Senior
Locations
United States
Qualification
Applicants
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