{"title": "Machine Learning Engineering Manager - Advanced Analytics, Worldwide BPR", "summary": "Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don\u2019t just craft products - we build the kind of wonder that\u2019s revolutionized entire industries. It\u2019s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it!", "description": "\u2022 Experience leading high performing teams and engaging with senior stakeholders. \u2022 Experience understanding key performance levers and metrics to highlight operational issues and drive improvement. Proven history of guiding the team in designing, developing and deploying analytical solutions at scale \u2022 Practical experience solving real world problems and understanding of predictive modeling and algorithms (eg: anomaly detection, NLP, LLM, CVML). \u2022 Expert practical knowledge of algorithms, strong sense of levers impacting ML accuracy and ability to gain trust with stakeholders and leadership. \u2022 Proficient in tooling and not afraid to roll up your sleeves to get in the weeds, as needed. \u2022 Innate curiosity and bias for action with expert ability to identify, define and execute project plans and develop modeling approaches suitable for the problem. \u2022 Self-sufficient with an ability to thrive in an environment of autonomy amidst ambiguity. \u2022 Capability to bring global cross functional team along, Strong critical thinking and problem solving ability. \u2022 Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. \u2022 Phenomenal team leader - invested in the collective success of the team and project outcomes.", "key_qualifications": "\u2022 Lead and grow a team of highly skilled data scientists providing guidance, mentorship and support. Ability to recognize, attract and develop talent. Expert ability to dive deep with the team to solve complex challenges. \u2022 Architect and collaborate with data engineers on data strategy and infrastructure partners to implement robust, scalable solutions and operationalize models for seamless integration into processes and applications. Guide partner teams to enable data science infra from experimentation to deployment. \u2022 Communicate results of analyses and models to partners and senior leaders. Influence decision making with exec leadership. \u2022 Innovate and foster an environment of learning and development. Ability to instill focus on simplicity while handling complex challenges. \u2022 Engage with global business leaders to identify high ROI opportunities, understand requirements, translate those requirements into technical solutions and drive critical projects. \u2022 Own and drive key cross functional initiatives across Apple\u2019s Operations teams.", "preferred_qualifications": "", "education_experience": "\u2022 PhD/MS in Computer Science, Statistics, Applied Math or a related field and 12+ years of industry experience. \u2022 Proven track record of 10+ years managing & developing a high-performing teams, with emphasis on data science, machine learning and analytics. \u2022 Experience in the application of data science within an Operational or Supply Chain context is preferred.", "additional_requirements": "", "pay_benefits": "", "company": "apple"}