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Tier-1 brand but senior, highly specialized applied-science role reduces applicant density.
Highly specialized experimentation and applied-ML skillset limits cross-industry transferability.
Multiple explicit filters: 10+ years, advanced degree, and statistical/technical leadership required.
Lead design and development of LinkedIn's AI experimentation platform, ensuring statistical correctness and advanced experiment analysis features.
Develop and integrate diverse experiment analysis methodologies, including variance reduction, quantile treatment effect, and cross-experiment analysis.
Drive platform capability expansion into new experiment designs like cluster-randomized designs and budget split testing, collaborating with cross-functional teams.
MS or PhD in a quantitative discipline such as Statistics, Economics, Applied Mathematics, Operations Research, Computer Science, or Informatics.
Expertise in statistics focusing on experimental design and bias/variance analysis.
Fluency in at least one programming language and proficiency with AI software engineering tools.
3+ years of substantial technical leadership experience and 10+ years of total professional experience.
Experienced in leading technical and statistical aspects of large-scale experimentation platforms, preferably in infrastructure or platform development.
Skilled in collaborating with diverse stakeholders to design broadly applicable solutions and drive adoption of data science innovations.
Capable of independently initiating, scoping, and delivering complex strategic projects with strong emphasis on statistical rigor and scalable system design.