At Apple, the business problem is to create a state of the art ads experimentation platform that enables safe and data driven launch of features while delivering on Apple's privacy commitment through experimentation.
Requirements
- 8+ years of experience in software and data science or statistics with an in-depth understanding of SQL and causal inference
- Experience with A/B testing infrastructure and methodologies and deep understanding of the assumptions of randomized control trials
- Familiarity with causal machine learning tools and technologies
- Well versed in observational causal techniques like regression, propensity score matching, Diff in Diff, regression discontinuity and instrumental variables
- Proficiency in SQL and Pyspark or Scala to conduct analyses and build data products
- Advanced Degree in Computer Science, Statistics, Applied Math or related field
- Skilled at operating in a cross-functional organization
Responsibilities
- Design and build a new generation of experimentation platform for the Ads Platform organization
- Apply leading-edge technologies to enable safe and data driven launch of features
- Collaborate with stakeholders and data scientists to design experiments and statistical methods
- Provide expert technical guidance to engineers and scientists on statistical techniques, experiment design and data engineering
- Conduct rigorous, end-to-end analyses using SQL, Python, and statistical methods
- Lead the design, development, and maintenance of scalable and reliable data pipelines
- Implement robust data quality checks, monitoring systems, and data lineage tracking
Other
- Ability to understand ambiguous and complex problems and design and execute analytical approaches
- Curious business attitude with a proven ability to seek projects with a sense of ownership
- Excellent communication, social and presentation skills
- Desire to work in a fast-paced and challenging work environment
- Mentor junior engineers and scientists on the team
