Share what youre learning about novel technologies and methods (in data science, machine learning, data engineering, and software engineering, etc) to improve your teams overall technical capabilitiesGraduate degree with research/work experience utilizing data science techniques (including but not limited to Computer Science, Statistics, Political Science, Biology, etc) or Bachelor's degree with equivalent experience Practical experience (acquired through work, independent projects, or academic research) in deploying machine learning solutions to answer real-world questions Practical experience with implementing data science-related applications in a programming language such as Python, Scala, or JavaTheoretical understanding of machine learning algorithms and their relative strengths and weaknesses Ability to use a querying language such as SQL to extract insights from data Demonstrate ability to think holistically about system structures and interactions in order to anticipate technical, business, and customer impact Effective communication skills to translate complex concepts and analysis into concise, business-focused solutions Team-oriented skills and values to facilitate effective collaboration with business and technical partners. As an SDS MLE, you will work with teams across Apple, using data analysis and predictive modeling techniques to define, build, deploy, and maintain end-to-end operational solutions that have a direct and measurable impact to the company and our customers.