AIML - Sr Data Scientist, 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

Cupertino, California, United States Machine Learning and AI

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there’s no telling what you could accomplish. The AIML Evaluation org works with teams across Apple to build platforms, create methodologies, and enable partners to measure, understand, and proactively improve their products. We are looking for an outstanding candidate to become a member of the Evaluation team to help own and drive part of our technical portfolio for Apple Intelligence. Our work ensures that Apple systems maintain the highest standards for data quality and user privacy compliance.

Description

As a Data Scientist on the AIML Evaluation team, you will play a key role in ensuring data quality and privacy compliance across some of Apple’s most impactful products. You will contribute to building and maintaining monitoring systems, dashboards, and automated processes that help teams understand and uphold Apple’s rigorous privacy standards. This role blends analytical thinking with practical engineering skills in a highly collaborative environment.

Responsibilities

• Partner with product, engineering, and data science teams to support compliance‑aware feature development — consulting on new feature design, flagging privacy considerations, and identifying monitoring requirements early in the product lifecycle.
• Build and maintain automated data pipelines, compliance checks, and dashboards that provide clear visibility into data quality and policy adherence over time.
• Investigate and triage data quality and compliance issues, help quantify their impact, and communicate findings clearly to both technical and non‑technical audiences.
• Perform ad hoc analyses to support ongoing compliance work to inform decision‑making across the team.
• Successful candidates will have a genuine passion for user privacy and strong communication skills. You should be comfortable operating in a cross‑functional environment with some ambiguity and be eager to grow your technical skills alongside experienced teammates.

Minimum Qualifications

• 7+ years of industry experience in Data Science, Data Engineering, or Data Analytics.
• Strong programming skills in Python and SQL, with hands‑on experience in data processing, analysis, and pipeline development.
• Demonstrated commitment to user privacy and a working understanding of data privacy principles.
• Strong collaboration and communication skills, with the ability to translate technical findings for a broad audience.
• Bachelor’s or Master’s in a technical or quantitative field such as Statistics, Computer Science, Mathematics, or a related discipline.

Preferred Qualifications

• Prior involvement in data collection design with privacy or regulatory considerations in mind.
• Familiarity with data governance, compliance monitoring, or privacy‑preserving data practices.
• Comfort working across cross‑functional teams with multiple stakeholders.
• Proven ability to build or contribute to dashboards and data visualizations for both technical and non‑technical audiences.
• Exposure to logging frameworks or analytic instrumentation design.

Compensation & 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 $184,700 and $324,800, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.