AIML - Senior Data Scientist, Evaluation

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 Sr. Data Scientist on the AIML Evaluation team, you will be a technical leader responsible for ensuring data quality and privacy compliance across Apple Intelligence, Siri, and other critical products. You will design monitoring systems that validate data meets Apple's rigorous privacy standards while enabling teams to measure and improve product quality at scale. This role requires both analytical rigor and robust engineering skills.

Successful candidates will need to have a passion for user privacy and superb communication skills with an ability to influence at all levels of the organization, from junior engineers to Sr. Directors and SVPs. Creative problem solving, analytical, and deductive reasoning skills are critical for this position. You should be comfortable with ambiguity and a complex cross-functional environment, requiring relentless collaboration and laser focus on outcomes.","responsibilities":"Partner with product, data science, and engineering teams to define data quality metrics and contribute to privacy-compliant logging design.

Build production data pipelines with automated quality validation, compliance checks, and alerting systems to ensure data integrity across development and production environments.

Investigate, diagnose, and measure impact of data quality and compliance issues, recommend remediation strategies, and communicate findings to technical and non-technical stakeholders.

Preferred Qualifications

Master's in a technical or quantitative field such as Statistics, Biostatistics, Computer Science, Machine Learning, Operations Research, Mathematics or 10+ years of industry experience with demonstrated technical leadership

Experience with analytic design and logging frameworks

Minimum Qualifications

7+ years of industry experience in Data Science, Data Engineering, or Data Analytics

Experience leading strategic technical projects with multiple stakeholders and directing work of other engineers and/or data scientists or as a technical lead

Strong collaboration, communication, interpersonal, and organizational skills

Ability to solve complex problems independently

Strong programming skills in Python and SQL, with experience in data manipulation, processing, and analytics pipelines

Demonstrated commitment to user privacy and understanding of data privacy principles

Experience designing or implementing privacy-preserving data practices, compliance monitoring, or data governance systems

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 .