Principal Applied Scientist (AI)

TL;DR

Principal Applied Scientist (AI): Defines and drives scientific and technical strategy for data-driven attribution and causal measurement in advertising systems with an accent on incrementality estimation, counterfactual learning, and bias correction. Focus on designing and adopting attribution/causal inference frameworks to improve bidding, ranking, and optimization at web scale, ensuring scientific rigor.

Location: Hybrid in Sunnyvale, United States. Employees within a 50-mile commute of a U.S. Microsoft office are expected to work from the office at least four days per week.

Salary: USD $188,000 – $304,200 per year (San Francisco Bay area and New York City metropolitan area).

Company

hirify.global's Signals Modeling team builds intelligence that powers the advertising marketplace's understanding of user behavior, impact, and outcome optimization.

What you will do

• Define and drive the scientific and technical strategy for data-driven attribution and causal measurement.
• Establish methodologies for incrementality estimation, counterfactual learning, and bias correction.
• Lead the design and production adoption of attribution and causal inference frameworks at web scale.
• Set evaluation standards that distinguish correlation from causation and elevate experimental rigor.
• Identify capability gaps and introduce advanced research or modeling approaches.
• Mentor scientists and influence technical direction to raise the organization’s scientific bar.

Requirements

• Bachelor’s Degree with 6+ years, Master’s with 4+ years, or Doctorate with 3+ years in Statistics, Econometrics, Computer Science, or related field.
• 5+ years experience conducting research in academic or industry settings.
• 3+ years experience developing and deploying live production systems as part of a product team.
• Recognized expertise in attribution, incrementality, marketplace experimentation, or causal ML.
• Deep expertise in causal inference, data-driven attribution, or experimental design applied in production environments.
• Proven ability to influence strategy and drive adoption of new measurement or modeling approaches beyond an immediate team.
• Solid scientific judgment and exceptional communication skills translating complex technical concepts.

Culture & Benefits

• Microsoft’s mission is to empower every person and organization to achieve more.
• Foster a culture of inclusion, growth, and innovation.
• Built on values of respect, integrity, and accountability.
• Opportunity to drive meaningful impact and solve complex problems.