At Apple, the business problem is to analyze and produce insights from diagnostic and usage data from hundreds of millions of devices all over the world to improve the user experience and solve challenges.
Requirements
- Experience with LLM-driven workflows or leveraging GenAI to augment and improve Data Science workflows.
- Experience designing and building scalable data systems and pipelines to support complex, large-scale analytics initiatives.
- Strong proficiency in SQL and at least one programming language, such as Python or R, and experience with data visualization platforms (e.g. Tableau, Looker).
- Experience with distributed computing frameworks like Spark, Hadoop or Flink.
- Strong fundamentals in data engineering, product analytics, statistics, and machine learning.
Responsibilities
- Design and own the foundational datasets, visualizations and reports for Apple’s leadership that communicate a cohesive narrative about our core operating systems (iOS, iPadOS, macOS, watchOS and visionOS).
- Develop robust and scalable metrics frameworks, data pipelines, and comprehensive reporting to measure the health and performance of Apple’s products and features.
- Partner with Engineering to design and implement new telemetry while prioritizing user privacy.
- Build relationships with cross-functional partners in Engineering, Product and Marketing to identify data-driven insights and opportunities to inform product decisions and improve the user experience.
- Define and lead rigorous and innovative analyses to deepen our understanding of our software and products.
- Innovate and transform the way in which our team works - explore new opportunities to leverage Generative AI and new technologies to optimize Data Science workflows and scale the impact of our team.
Other
- Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Economics) or equivalent professional experience.
- 3+ years of data science or related experience, preferably in a consumer tech company.
- Excellent interpersonal and communication skills, with the ability to collaborate effectively with both technical and non-technical teams.
- Self-motivated and intellectually curious, with a demonstrated ability to thrive in ambiguous problem spaces.
- Apple is an equal opportunity employer that is committed to inclusion and diversity.
