Description
Summary
Microsoft AI are looking for a talented Principal Applied Scientist at their Sunnyvale office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising the advertising marketplace. You'll work directly with leadership to shape the company's direction in the development of large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback.
About the Role
Our Signals Modeling team builds the intelligence that powers how the advertising marketplace understands user behavior, measures impact and optimizes outcomes from initial impressions through downstream conversions and long-term advertiser value. We develop large-scale learning systems that infer intent and causal effects from incomplete and noisy feedback, enabling principled decision-making across ranking, bidding, pricing, and budget allocation. Our work sits at the foundation of marketplace optimization, where accurate attribution and measurement directly influence billions in advertising spend. The team designs and operates state-of-the-art modeling platforms spanning representation learning, weak-supervision, multi-objective training, calibration, and rigorous experimentation. We transform sparse engagement signals into reliable learning targets and build models that remain robust under delayed conversions, selection bias, and rapidly shifting marketplace dynamics.
Accountabilities
- Define and drive the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems.
- Establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability.
The Candidate we're looking for
Experience:
- Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
Technical skills:
- Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.
Personal attributes:
- Track record of driving multi-year research or modeling agendas that materially improved product outcomes.
Benefits
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.