Senior Data Scientist - Special Projects

Role Number:
Team:
Operations and Supply Chain, Software and Services

Location:

Cupertino Posted:
Summary 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.

Description 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.

Minimum Qualifications 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, or 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

Preferred Qualifications 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

Pay & Benefits At Apple, 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 role is between $144,600 and $263,800, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including:
Comprehensive medical and dental coverage, retirement benefits, a range of discounted…