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Data Scientist, Payments Data Science, WPC Analytics - Austin at Apple

At Apple, extraordinary ideas have a way of becoming great products, services, and customer experiences very quickly. If you are an ambitious, high-energy individual who is not afraid of challenges, were looking for you to join the Wallet, Payments & Commerce Analytics organization to drive optimization analytics for the Apple Services business. The WPC Analytics team supports all commerce, payments & subscription platforms across all of Apples Services business (App Store, iTunes, Music, Books, TV+, iCloud, Apple Wallet). You are skilled analytically with a strong business sense. You will be a partner to the business, understand their goals and then use your skills and subject matter expertise to surface actionable insights that drive business and customer benefits. You will collaborate with partners across marketing, product, design, engineering, and business teams to drive your findings and recommendations into action. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way; we believe analytics is a team sport, but we strive for independent decision-making and taking smart risks.

You will play a key role improving the AMP commerce, payments & subscription platform and marketing efforts. As a member of this team you will help optimize the platform by developing new data products, tuning existing features, developing marketing strategies and evaluating campaign performance.

Deep dives in large-scale data to identify key insights that inform product improvements and business strategy.

Supervised and unsupervised learning.

A/B testing and causal modeling.

Define how best to measure and monitor payments products and features.

Engage with business, engineering, product management teams as a thought partner.

Build and maintain positive relationships with key partners across the company to successfully deliver impactful insights.

Partner with other Apple organizations on data gathering, data governance, democratizing data with reporting tools and evangelizing critical metrics.

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