About the role
AI summarisedApple is seeking a Principal Data Scientist to join its Worldwide Channel Strategy and Operations Data AI/ML team. The role involves designing, developing, and deploying machine learning models at scale to enhance global sales strategies and customer experiences. The position requires strong expertise in advanced ML techniques, algorithm development, and collaboration across multi-functional teams.
TechnologyOnsiteMachine Learning and AI
Key Responsibilities
- Design, develop, and deploy impactful machine learning models using large-scale datasets
- Collaborate with multi-functional teams including sales, engineering, analytics, and business stakeholders
- Deliver ML-driven features that enhance Apple’s global sales and digital initiatives
- Apply traditional ML, optimization, and advanced transformer-based architectures to real-world problems
- Utilize LLM-powered components to solve high-impact business problems
- Build and deploy end-to-end machine learning solutions that power key business outcomes
- Enable personalized customer experiences and optimize sales processes through AI/ML
- Drive measurable impact at scale across Apple’s global sales ecosystem
- Shape the future of global sales through innovative AI and ML solutions
- Work with some of the brightest minds in the industry to create delightful customer experiences
Requirements
- Minimum of 10 years of professional experience in machine learning, artificial intelligence, data science, or related fields
- Proven track record of delivering impactful ML solutions in industry settings
- Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Operations Research, or related field
- Strong background in operations research with hands-on experience applying optimization techniques
- Experience applying linear programming, dynamic programming, or combinatorial optimization to real-world problems
- Deep understanding of machine learning principles including supervised/unsupervised learning, deep learning, reinforcement learning, graph neural networks, and generative AI
- Proficiency in practical implementation, hyper-parameter tuning, and performance optimization
- Exceptional ability to design and implement novel algorithms tailored to business needs with focus on scalability and efficiency
- Proven ability to develop innovative validation frameworks to assess model performance and ensure robustness
- Exceptional programming skills in Python with experience writing clean, efficient, and maintainable code
- Familiarity with TensorFlow, PyTorch, Scikit-learn, or similar libraries
- Strong ability to write complex SQL queries to extract, transform, and analyze large datasets
- Excellent communication and collaboration skills to work effectively with diverse teams
- Experience translating business requirements into technical solutions
- Practical experience building and deploying ML models at scale with focus on real-world applications
- Experience with transformer-based architectures or large language models (LLMs) for personalization
- Familiarity with cloud-based ML platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks
- Knowledge of sales and customer engagement processes in a global context