Data Scientist, Subscription Analytics

Were idealists. Inventors. Forever tinkering with products and processes always on the lookout for better. Whether you work at our global offices offsite or even at home a job at Apple will be demanding. But it also rewards bright creative thinking and hard work. And none of us here would have it any other way. Does an exciting dynamic and fast paced environment catch your attention Do you like puzzles and determining solutions that are not obvious Terrific! Consider joining us. We are looking for an experienced individual who will focus on exploratory analysis and development of innovative components to grow engagement of users specifically in the areas of feature usage behavior and conversion optimization.

This role focuses on subscription analytics and initiatives to drive growth. Here you will partner closely with Product Business Data Engineering and Instrumentation teams. The tasks fall broadly into these areas:nn- Size new opportunities and work with a broad cross-functional team to support roadmap planning implementation and launch of new products and features.n- Identify key learnings from data and distill findings into recommendations for business ownersn- Define measure and communicate KPIs for overall business and key initiatives. Build and maintain regular reports and provide ad-hoc analysis to support business needsn- Work with engineering to identify data needs for new initiatives and build data pipelines. Partner with the instrumentation team to ensure tracking is in place before launchesn

5 years of experience working and understanding of data structures and pipelines.n5 years of experience with demonstrated expertise in programming developing and managing SQL R and/or degree in the preferred fields of Mathematics Economics Engineering Statistics Business Analytics Finance or equivalent quantitative discipline

Related business understanding with experience in product growth or business presentation and storytelling skills. Communication skills to package well within cross-functional teams and manage to structure and solve problems.