Data Science Leader, AIML Data Operations

Apple • Cupertino, CA

6h

About The Position

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.

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.

Requirements

• 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

Nice To Haves

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager