Apple's intelligent systems generate rich, multi-modal data from devices, sensors, software, and services. We're looking for a data scientist who can bring clarity to this complexity - someone who can analyze diverse datasets, surface meaningful insights, and design intuitive tools that help teams understand and improve the intelligence behind Apple products.\\n\\nYou'll work across the full data lifecycle: discovering signals in large-scale distributed logs, building search and retrieval mechanisms to make data accessible, and crafting interactive visualizations and evaluations that guide product direction and system performance.
Our team works at the intersection of hardware, software, and intelligence. We design the systems, infrastructure, and tools that enable Apple's next generation of AI-driven experiences - from on-device middleware and distributed inference platforms to large-scale data pipelines, interactive analytics, and advanced developer tooling. We collaborate closely with hardware, robotics, ML, design, and platform teams to build end-to-end solutions that are performant, intuitive, and deeply integrated into Apple's ecosystem. The work is hands-on, highly cross-disciplinary, and central to shaping how Apple's intelligent systems evolve.
Proven experience in data science, analytics engineering, or applied research roles\nStrong proficiency in Python and common data analysis libraries\nExpertise with data visualization tools or frameworks for building interactive dashboards\nExperience querying and modeling data in SQL and NoSQL environments\nAbility to analyze large-scale, high-dimensional, and multi-modal datasets\nFamiliarity with designing or using search and retrieval systems for large-scale data\nExperience designing KPIs, evaluation metrics, or experiment analyses for complex systems\nStrong statistical intuition and experience with exploratory data analysis and hypothesis testing\nAbility to translate complex findings into clear, actionable insights for cross-functional teams\nBachelor's or Master's degree in Data Science, Computer Science, Applied Mathematics, or related field, and 5+ years of industry experience
Experience working with data from distributed or real-time systems, robotics, or multi-modal AI\nFamiliarity with information retrieval techniques (ranking, embedding-based search, relevance modeling)\nExperience collaborating with ML teams on evaluation methodologies, dataset design, or model diagnostics\nKnowledge of metadata management systems, cataloging approaches, or data documentation strategies\nBackground in statistical modeling, time-series analysis, or anomaly detection\nExperience with visualization frameworks used for large datasets\nUnderstanding of cloud-scale data processing and distributed compute frameworks
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 6aa57b8005560301b067f84542207559
- Posted 4 days ago
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