Data Science Leader, AIML Data Operations at Apple

Cupertino, California, United States -

Full Time

Start Date

Immediate

Expiry Date

15 May, 26

Salary

0.0

Posted On

14 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science Leadership, Analytics, Experimentation, Data Engineering, Data Scientists, Health Metrics, Operational Optimization, Scalable Schema Designs, Relational Database, Big Data Technologies, ETL, Code Management, Query Performance Optimization, SQL, Python, R

Industry

Computers and Electronics Manufacturing

Description

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple’s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. We are currently seeking an experienced and influential Data Science Leader to grow the AIML Data Operations Annotations Analytics team and function. This position will lead a team of data engineers and scientists to establish top-line health metrics, identify key growth drivers, and recommend operational and business optimizations through scalable, responsive, and interpretable research and analyses. DESCRIPTION The ideal candidate for this role is an experienced manager with deep expertise in analytics and experimentation, excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at leading teams to surface and communicate key data insights that improve performance and customer experience at a global scale. MINIMUM QUALIFICATIONS Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 4+ years of experience in managing data science, analytics, or data operations teams 4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization Mastery in SQL-based languages, and proficiency in at least one large-scale data languages Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R PREFERRED QUALIFICATIONS Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization Experience in managing data science or analytics teams in AI & ML annotations and collections areas. Passion for AIML and Operations, with a consistent track record of operational results.

Responsibilities

This role involves leading a team of data engineers and scientists to establish key health metrics and identify growth drivers for the AIML Data Operations Annotations Analytics team. The leader will recommend operational and business optimizations through scalable, responsive, and interpretable research and analyses.