SummaryPosted: Sep 17, 2024Weekly Hours: 40 Role Number:200556230Apple’s Strategic Data Solutions (SDS) team designs and implements data science and machine learning algorithms that drive strategic impact across Apple to mitigate fraud losses, optimize various business processes, and improve the customer journey across our programs. Our team applies data science and machine learning to drive strategic impact across multiple lines of business at Apple. We are looking for an outstanding analyst who is interested in working closely with AppleCare partner teams; understanding their processes and analytic needs; and developing technical solutions along the way. They will sit side-by-side with our machine learning engineers and analyze complex business problems, have access to internal and external data sources, and be expected to communicate relevant insights to senior leadership and key decision-makers. The ideal candidate works well in collaborative environments with minimal formal structure and is comfortable in changing environments with competing priorities. They must possess solid business acumen, a strong quantitative / technical background, natural curiosity, and the ability to effectively shift between communications styles based on the audience (technical peer review through leadership update).DescriptionDescription• Support discovery of business problems • Analyze and interoperate new sources of data • Retrain existing machine learning models • Manage and modify operational thresholds of machine learning models • Perform ad-hoc and reoccurring statistical analyses • Work with data warehouse architects and software developers to generate seamless business intelligence solutions for business partners • Present results of analyses to business unitsMinimum QualificationsMinimum QualificationsBS / MS in technical field (math, statistics, engineering, computer science, analytics, or similar)At least 3-5 yrs experience working as a data/business analyst, auditor, or related roleExperience applying analytical techniques to provide solutions to real business problemsExperience eliciting business requirements and executive metricsExperience building business cases and project plansExperience coordinating with partners to ensure timely project deliveryKey QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsProgramming skills in PythonBackground in Fraud Prevention or AppleCare OperationsStrong interpersonal skills with ability to connect and develop strong partnershipsData visualizationCompetent with SQL and big data systems and toolsStrong verbal / written communication skillsCreativity to go beyond current tools to deliver best solution to the problemInquisitiveness and a desire for continued self-improvement and development of new skillsComfort working independently and making key decisions on projectsAbility to tell meaningful and accurate stories with data and visualizationAbility to bridge between ML engineering and business teams to answer questions related to significance of a data pattern, or identifyingEducation & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsMore

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