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 Senior Data Scientist to support the AIML Data Operations Annotations Analytics team. This position will lead the development of scalable data science, data engineering, metrics, and reporting capabilities that measure and improve the health, productivity, quality, and performance of AIML Data Operations. This position will strategize and partner successfully to deliver complex cross-functional projects, generate actionable insights, and apply experimentation, automation, and emerging technologies to optimize workflows, strengthen decision-making, and enhance the analyst and customer experience.
Description
The ideal candidate for this role is an experienced data scientist 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 surfacing and communicating 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: d1b85644a60d048d078b8d7a08a576e5
- Posted 10 hours ago
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