Job Description: 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. Job Responsibilities: Conduct hypothesis-driven exploratory analyses, select appropriate ML algorithms, and build complex optimization engines to deliver impactful data solutions Collaborate with cross-functional teams to identify new growth opportunities, develop data requirements, establish product critical metrics, and evangelize data products Communicate insights to senior management by distilling complex analysis and concepts into concise business-focused takeaways Design, deploy, and evaluate experiments that help define opportunities for higher adoption, improved business performance, and better customer experience Take deep dives in large-scale data to identify key insights that will shape future product strategy Research new technologies and methods across data science and data engineering to improve the technical capabilities of the team Job Requirements: Practical experience with and theoretical understanding of ML algorithms for classification, regression, clustering, and anomaly detection Ability to extract significant business insights from data and identify the stories behind the patterns Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop Communication skills for communicating complex quantitative analyses to senior business executives 5+ years of professional experience in data science, machine learning, or product analytics Job Details: Company: Apple Vacancy Type: Full Time Job Location: Winston Salem, NC, US Application Deadline: N/A Apply Here vacancyoptions.com
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