Staff Data Scientist, Applied Science
LinkedIn (company site, opens in a new tab)10+ yrsBengaluruHybridDirect career pageEst. 50–85 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.