About the role
AI summarisedJoin Apple's Channel Sales organization in ANZSA to design and implement next-generation, AI-powered analytical solutions that drive regional growth. This is a hands-on role requiring you to architect and deploy transformative AI solutions at scale, bridging advanced data science with critical business strategies across sales, engineering, and analytics.
TechnologyOnsiteSales and Business Development
Key Responsibilities
- Bridge data science and business by collaborating with leaders to translate complex business problems into well-defined analytical requirements.
- Perform exploratory data analysis (EDA) and formulate hypotheses to uncover significant business opportunities or challenges.
- Design and deploy statistical models to simulate potential outcomes for critical business topics like affordability, coverage, competitive landscape, and price elasticity.
- Develop solutions by leveraging state-of-the-art techniques including ML optimization, Reinforcement Learning from Human Feedback (RLHF), Graph Neural Networks (GNN), and Generative AI.
- Partner with engineering teams to productionalize models and solutions into live products.
- Define and implement robust validation strategies ensuring model accuracy, reliability, and generalizability using quantitative metrics and qualitative insights.
- Collaborate with data engineering teams to build and maintain robust data pipelines for high-performance scalable models.
- Keep up-to-date with industry trends to propose continuous improvement for AI platforms.
Requirements
- 8+ years of professional experience in ML, AI, Data Science, or related fields with a proven track record delivering impactful solutions.
- Advanced degree in Computer Science, Data Science, or a related field, or equivalent professional experience.
- Deep understanding of ML principles (supervised/unsupervised learning, deep learning) with expertise in advanced techniques like RLHF, GNNs, or GenAI.
- Expert proficiency in Python and standard ML libraries (PyTorch, Tensorflow), including writing clean, production-grade code.
- Strong ability to write complex SQL queries for extracting, transforming, and analyzing large datasets from relational databases.
- Extensive command of statistical modeling and causal inference, including experimental design and hypothesis testing.
- Exceptional communication skills to translate undefined business questions into end-to-end data solutions for executive stakeholders.
- Demonstrated experience collaborating closely with business teams to deep dive into performance and drive solutions.