Senior Data Analyst - Special Projects

Senior Data Scientist - Special Projects

Cupertino, California, United States Software and Services

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. You’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.

• Explore, analyze, and model large volumes of multi‑modal data from devices and cloud systems to identify trends, correlations, and anomalies.
• Design and build interactive dashboards, visualizations, and metrics that help engineering and product teams evaluate system behavior.
• Develop search, retrieval, and indexing strategies to make data more discoverable, usable, and actionable across teams.
• Partner with AI and robotics engineers to design evaluation frameworks, KPIs, diagnostics that assess data quality, model behavior, and system performance.
• Work with cloud engineers to shape how data is organized, stored, and exposed for efficient querying.
• Investigate data quality issues, define validation strategies, and recommend improvements to data collection and pipeline design.
• Collaborate with hardware, robotics, AI, and user experience teams to interpret data within the broader system context.
• Communicate insights clearly through written analyses, visual storytelling, and presentations to stakeholders.

• Proven experience in data science, analytics engineering, or applied research roles.
• Strong proficiency in Python and common data analysis libraries.
• Expertise with data visualization tools or frameworks for building interactive dashboards.
• Experience querying and modeling data in SQL and No
  
  SQL environments.
• Ability to analyze large‑scale, high‑dimensional, and multi‑modal datasets.
• Familiarity with designing or using search and retrieval systems for large‑scale data.
• Experience designing KPIs, evaluation metrics, and experiment analyses for complex systems.
• Strong statistical intuition and experience with exploratory data analysis and hypothesis testing.
• Ability to translate complex findings into clear, actionable insights for cross‑functional teams.
• Bachelor’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.
• Familiarity with information retrieval techniques (ranking, embedding‑based search, relevance modeling)
• Experience collaborating with ML teams on evaluation methodologies, dataset design, or model diagnostics.
• Knowledge of metadata management systems, cataloging approaches, or data documentation strategies.
• Background in statistical modeling, time‑series analysis, or anomaly detection
• Experience with visualization frameworks used for large datasets.
• Understanding of cloud‑scale data processing and distributed compute frameworks.

Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this…