Data Science Leader, AIML Data Operations

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 Apples ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. nnWe 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.

Establish a center of excellence for Data Operations Data Science team by uncovering business-actionable insights in collaboration across our customer groups as well as the Operations large complex projects from conception to completion develop roadmaps and requirements identify risks and develop contingency plans evaluate impact and regularly communicate status to enhance and socialize key operational metrics that accurately represent the business state of proactive analyses identifying key drivers of metrics and make recommendations that optimize reporting measures to expand the portfolio of self-service dashboards and reports to inform enable and empower relevant schema and instrumentation requirements to enrich operational datasets for new projects key factors that lead to improving productivity and a holistic view of analyst behaviors across the various platforms and identify synergies that drive a more positive analyst experience and recruit and train a diverse team of high-performing data engineers and scientists focused on uncovering insights from large-scale data across all aspects of the operation.

Bachelors degree in Computer Science Statistics Mathematics Engineering Economics or related field.n4 years of experience in managing data science analytics or data operations teams n4 years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goalsnTested capabilities and comfort in scalable schema designs relational database and big data technologies ETL code management and query performance optimizationnMastery in SQL-based languages and proficiency in at least one large-scale data languagesnStrong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R

Masters degree or PhD in Computer Science Statistics Mathematics Engineering Economics or related with the deployment of Large Language Models / Generative AI in service of efficiency in operationsnExcellent 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 organizationnExperience in managing data science or analytics teams in AI u0026 ML annotations and collections for AIML and Operations with a consistent track record of operational results.