Summary Posted: Sep 11, 2023 Weekly Hours: 40 Role Number: 200502400 Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn’t have imagined, and now, can’t imagine living without. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do. Key Qualifications Key Qualifications Master’s degree or foreign equivalent in Statistics, Finance , Physics, Data Science or related field and 2 years of experience in the job offered or related occupation. 1 year of experience with each of the following skills is required: 1. Python 2. SQL 3. Machine Learning 4. Casual Inference 5. Statistics Description Description APPLE INC has the following available in Austin, Texas. Create causal machine learning models to understand and improve Apple’s Services’ marketing efforts. Collaborate with Apple Media Products team members and partners to use Causal Inference techniques that help us optimize our Marketing efforts, focusing on Services such as Apple TV+, Apple Music, Apple Fitness+, Apple Arcade, the App Store, and Apple One. Engineer end-to-end scalable and robust Causal Inference products which provide Apple with an understanding of the health of our Services’ marketing efforts. Dive deep into large-scale data sources to uncover opportunities for Causal Inference automation, predictive methods, and quantitative modeling across Apple services. Partner with other Apple organizations on data engineering, data governance, voicing support for Causal Inference techniques, and democratizing data. 40 hours/week. Education & Experience Education & Experience Additional Requirements Additional Requirements
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