Summary
Microsoft AI are looking for a talented Principal Applied Scientist at their Redmond office. This role sits at the heart of scientific and technical strategy for data-driven attribution and causal measurement across advertising systems. You will help define the future of data-driven attribution and causal measurement, shaping the methodologies that determine how value is estimated and optimized across the ecosystem.
About the Role
As a Principal Applied Scientist, you will help define the scientific and technical strategy for data-driven attribution (DDA) and causal measurement across advertising systems. You will establish methodologies for incrementality estimation, counterfactual learning, delayed-feedback modeling, and bias correction in environments with partial observability. You will lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale. You will set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams. You will identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations. You will operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.
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.
- Lead the design and production adoption of attribution and causal inference frameworks that improve bidding, ranking, optimization, and advertiser ROI at web scale.
- Set evaluation standards that distinguish correlation from causation and elevate experimental rigor across teams.
- Identify capability gaps and introduce advanced research, tools, or modeling approaches to strengthen measurement foundations.
- Operate across organizational boundaries to align research, engineering, product, and business leaders on measurement strategy.
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.
- Track record of driving multi-year research or modeling agendas that materially improved product outcomes.
Personal attributes:
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced environment and prioritize multiple tasks.
Benefits
- Competitive salary.
- Comprehensive benefits package.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.
