Data Scientist, Privacy & Data Quality Evaluation

Apple Inc.; Cupertino (CA); On-site; USD 184,700 - 324,800; Full time

Benefits offered by this job

Stock options

Employee Stock Purchase Plan

Medical and dental coverage

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. in Cupertino, California, is seeking an experienced Data Scientist to join the AIML Evaluation team. You will help own and drive parts of the technical portfolio, building monitoring systems, dashboards, and automated processes to uphold Apple’s privacy standards.

The role emphasizes data quality, privacy compliance, and cross-functional collaboration, requiring strong Python/SQL expertise and 7+ years in data-focused roles. A collaborative, growth-oriented mindset is essential.

Qualifications

• 7+ years in Data Science, Data Engineering, or Data Analytics.
• Proficient in Python and SQL for data processing and pipelines.
• Strong commitment to user privacy and data governance.
• Excellent collaboration and ability to translate findings.

Responsibilities

• Collaborate with product, engineering, and data science teams to support privacy‑compliant feature development.
• Build and maintain automated data pipelines, checks, and dashboards for data quality and policy adherence.
• Investigate data quality and compliance issues and communicate findings to stakeholders.
• Perform ad hoc analyses to inform decision-making across the team.
• Communicate effectively in a cross-functional environment and grow technical skills.

Skills

Python

SQL

Data privacy

Communication

Cross-functional

Education

Statistics

Computer Science

Job description

Apple Inc. in Cupertino, California, is seeking an experienced Data Scientist to join the AIML Evaluation team. You will help own and drive parts of the technical portfolio, building monitoring systems, dashboards, and automated processes to uphold Apple’s privacy standards.

The role emphasizes data quality, privacy compliance, and cross-functional collaboration, requiring strong Python/SQL expertise and 7+ years in data-focused roles. A collaborative, growth-oriented mindset is essential.