Senior Data Scientist - Experimentation
appleBrooklyn (NY)
Senior Data Scientist - Experimentation
Posted today
appleBrooklyn (NY)
SENIORITY
Lead
About the role
Overview:
In this role you will help design and build a next-generation ads experimentation platform at Apple. You will partner with cross-functional teams to enable safe, data-driven feature launches while upholding privacy commitments. You’ll perform rigorous analyses, drive observable improvements in treatment effects, and develop scalable tooling for rapid decision making. This is a hands-on, impact-oriented position that blends statistics, software engineering, and data science to empower advertisers and users. You will collaborate with senior stakeholders to translate complex problems into actionable insights. Compensation / Benefits comprehensive medical and dental coverage retirement benefits stock programs and education reimbursement tuition assistance discretionary bonuses or relocation discounted products and services
Responsibilities:
Design and build a new generation of experimentation platform for Ads Platform Collaborate with data scientists to design experiments and statistical methods Provide expert guidance on statistical techniques, experiment design and data engineering Develop scalable data pipelines and dashboards to automate experiment reporting Implement data quality checks, monitoring, and data lineage tracking Partner with stakeholders and senior leaders to identify high-impact questions Mentor junior engineers and scientists
Key requirements:
5+ years in software and data science or statistics Strong SQL and causal inference knowledge Experience with A/B testing infrastructure and randomized trials Proficiency in SQL and PySpark or Scala for data analysis and pipelines Experience designing and analyzing controlled experiments or causal inference studies Ability to communicate clearly and work in a cross-functional, fast-paced environment strong communication and presentation skills curious, ownership-driven mindset ability to operate in cross-functional teams SQL Python PySpark or Scala
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