Senior Data Scientist - Special Projects
19 days ago Cupertino, CA
About us
Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.
- Size: 10,000+ employees
- Industry: Technology: Manufacturing
Why you should apply for a job to Apple:
Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity
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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.","responsibilities":"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, and 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
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
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 NoSQL 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
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 products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
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.","responsibilities":"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, and 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
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
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 NoSQL 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
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 products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Additional Information
- Salary: $144,600 – $263,800
- Posted: 19 days ago