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 dont just craft products – they build the kind of wonder thats revolutionized entire industries. Its the diversity of those people and their ideas that supports 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.
The analytic insight team is looking for a strong engineering project manager to help drive strategy and development of our machine learning programs focused on operations and fulfillment. It is a unique opportunity to work on strategic projects and on a fast-paced team impacting all parts of Apple’s ecosystem.

Engineering project managers deliver process and analytic systems that have a strategic impact for Apple. They drive decision automation using machine learning that allows Apple to execute with greater speed, control, efficiency, and scale. They help realize business opportunity and balance operational tradeoffs through data science. Most importantly, they allow Apple to provide exceptional service to each and every one of its users by providing leadership across functional teams to conceptualize, build, and deliver automated decision analytics and forensic analysis. This requires continuous problem solving, rapid learning, and an innovative mindset. It also requires discipline, patience, and self-awareness as you work with many different business and engineering teams.

The candidates role will include:
Working collaboratively with our team of data scientists, data analysts, and program managers
Developing partnerships with key business managers across a variety of teams across Apple, including finance, operations, engineering, and corporate security
Translating business needs into initiatives with well-defined business requirements
Identifying new business opportunities and developing solutions that balance impact, cost, resourcing, timeline, success likelihood, and analytic risk
Developing and prioritizing analytic development projects
Managing business critical metrics
Effectively communicating project status and analytic results

Tagged as: Analytics, C++, Data, Machine Learning, R

Source:

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