AIML - Senior Data Scientist, Evaluation at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

26 Jan, 26

Salary

0.0

Posted On

28 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Data Engineering, Data Analytics, Technical Leadership, Collaboration, Communication, Problem Solving, Programming, Python, SQL, Data Manipulation, Privacy Compliance, Data Governance, Analytical Skills, Creative Problem Solving, User Privacy

Industry

Computers and Electronics Manufacturing

Description

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. 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 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

Responsibilities

As a Sr. Data Scientist, you will ensure data quality and privacy compliance across Apple Intelligence and design monitoring systems for data validation. You will collaborate with teams to improve product quality at scale.