Data Scientist, Retail Decision Automation

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's 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. At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work.

Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.

As a data scientist, you will provide data driven insights to AI powered and personalized experiences in the Retail Online journey. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.

Description

Research and develop evaluation methods to improve quality of Retail online journey. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.

- Design and execute observational and experimental studies of causal inference

- Work with large, complex data sets.

- Develop automated solutions to deliver insights and alerts

- Drive feature evaluation and product roadmap with insights","responsibilities":"Develop scalable data solutions to be used to drive analyses, reports, and insights

Influence upstream data model design, drive KPI definitions and develop customized data solutions

Measure impact of features and initiatives and help improve customer experience

Collaborate and influence cross functional partners to help deliver product objectives on time

Communicate results, insights and expectations to partners and senior leaders, bridge any gaps between technical and non-technical audiences. Be adept at messaging domain and technical content at a level appropriate for the audience.

Work independently in sophisticated and highly visible projects, identify risks and develop frameworks, regularly connect with collaborators and leadership teams.

Preferred Qualifications

PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent