Sr. Data Scientist, Wallet, Payments, & Commerce - Raleigh at Apple (Raleigh, NC)

Sr. Data Scientist, Wallet, Payments, & Commerce - Raleigh at Apple (Raleigh, NC)


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Location: Raleigh, NC
Type: Full Time
Created: 2021-07-28 05:00:21

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Apple is a place where extraordinary people meet to do their best work. Together we craft products and experiences people once couldnt have envisioned and now cant imagine living without. If youre excited by the idea of making a real impact and joining a team where we pride ourselves in being one of the most diverse and expansive companies in the world, a career with Apple might be your dream job. The Wallets, Payments, and Commerce (WPC) team at Apple is looking for a full-stack senior Data Scientist who is passionate about crafting and implementing data solutions that have a direct and measurable impact on Apple customers. You will employ predictive modeling and statistical analysis to build end-to-end solutions for improving the adoption of Apple wallet, alternative payment methods, and core commerce platform. You will be a thought partner to the business, understand strategic goals, and then use your skills and subject matter expertise to surface measurable insights that drive business decisions and customer benefits. You will collaborate with partners across product, design, engineering, and business teams to drive your recommendations into action. Our culture is about getting things done iteratively and rapidly, with open feedback and debate along the way. We believe Data Science is a team sport, but we strive for independent decision-making and taking smart risks.Take deep dives in large-scale data to identify key insights that will shape future product strategy Collaborate with cross-functional teams to identify new growth opportunities, develop data requirements, establish product critical metrics, and evangelize data productsDesign, deploy, and evaluate experiments that help define opportunities for higher adoption, improved business performance, and better customer experienceConduct hypothesis-driven exploratory analyses, select appropriate ML algorithms, and build complex optimization engines to deliver impactful data solutionsResearch new technologies and methods across data science and data engineering to improve the technical capabilities of the teamCommunicate insights to senior management by distilling complex analysis and concepts into concise business-focused takeaways