We are seeking a highly skilled Principal Data Scientist to join our WW CSO Data AI/ML team. This is a hands-on role where you will design develop and deploy impactful machine learning models using large-scale datasets. You will collaborate with multi-functional teams including sales engineering analytics and other business stakeholders to deliver ML-driven features that enhance Apples global sales and digital initiatives. The role requires expertise in a wide range of modeling techniques from traditional ML and optimization to advanced transformer-based architectures and LLM-powered components applied to real-world high-impact problems.
Professional Experience: Minimum of 10 years of professional experience in machine learning artificial intelligence data science or related fields with a proven track record of delivering impactful ML solutions in industry settings.
Educational Background: Advanced degree (Masters or Ph.D.) in Computer Science Data Science Operations Research or a related field or equivalent professional experience.
Operations Research Expertise: Strong background in operations research with hands-on experience applying optimization techniques (e.g. linear programming dynamic programming combinatorial optimization) to solve complex real-world problems in sales or related domains.
Advanced AI/ML Knowledge: Deep understanding of machine learning principles including supervised and unsupervised learning deep learning reinforcement learning graph neural networks and generative AI. Proficiency in practical implementation hyper-parameter tuning and performance optimization is essential.
Algorithm Development: Exceptional ability to design and implement novel algorithms tailored to specific business needs with a focus on scalability and efficiency.
Validation Expertise: Proven ability to develop innovative validation frameworks to assess model performance ensuring robustness and reliability in production environments.
Python Proficiency: Exceptional programming skills in Python with experience writing clean efficient and maintainable code. Familiarity with libraries such as TensorFlow PyTorch Scikit-learn or similar is highly desirable.
SQL Competence: Strong ability to write complex SQL queries to extract transform and analyze large datasets from relational databases.
Multi-functional Collaboration: Excellent communication and collaboration skills to work effectively with diverse teams and translate business requirements into technical solutions.
Experience with Large-Scale Systems: Practical experience building and deploying ML models at scale with a focus on real-world applications.
Experience with transformer-based architectures or large language models (LLMs) for personalization or other applications.
Familiarity with cloud-based ML platforms (e.g. AWS GCP Azure) and distributed computing frameworks.
Knowledge of sales and customer engagement processes particularly in a global context.
Ph.D. in Machine Learning Computer Science Mathematics Operation Research or a related field.
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