SummaryPosted: Nov 12, 2024Weekly Hours: 40 Role Number:200577252At Apple, we work every day to create products that enrich people’s lives. Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Our technology and services power advertising in the App Store. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy! We are seeking a data scientist intern for our Ad Platforms Data Insights team, based in Shanghai. Our team is developing the next generation of analytical solutions working with Sales, Marketing, Finance, Product, and Engineering. In this role you will work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement of solutions that are essential to running the business. You will be responsible for extracting insights from data that could potentially lead to new business opportunities, as well as driving quality and efficiency in the team via proficient coding skills.DescriptionDescriptionA successful candidate will have deep experience in applied methods (statistical analysis, predictive modeling, classification, impact measurement), experience building reporting dashboards, and using those methods and tools to drive key business insights. These insights include but not limited to market growth opportunities and strategies, product opportunities, and advertiser behaviors. The role requires data science skills (i.e., a broad knowledge of existing data mining algorithms), strong business acumen, and knowledge on mobile ads market. You’ll work closely with a broad range of data professionals as well as business leaders. You’ll be working on projects where tools and methods are used to drive real-world business value. - Support DI, Product, Marketing, Partner Development with analytics for customer insights and product opportunity areas. - Quantify the impact of product, sales, and marketing initiatives on customer happiness, and future behavior. - Manage business analytic projects through all phases, including data quality, data modeling, algorithm/KPI development, statistical analysis, data visualization, and presentation of results and deliverables. - Monitor usage metrics, understanding business-based explanations for large scale trends, and patterns in customer lifecycle behavior.Minimum QualificationsMinimum QualificationsFluent and project experience in Python and SQLAbility to work and distill information from large data sets and results, with attention to details and critical thinking mindset, self driven and able to come up with hypothesis and corresponding deep divesKnowledge and experience in advanced analytical techniques and statistical methods, including regression, classification, clustering, etc.Key QualificationsKey QualificationsPreferred QualificationsPreferred QualificationsBS/MS student in a quantitative field, such as Business Analytics, Applied Mathematics, Engineering, Operations Research, Social Sciences, Statistics, or equivalent professional experience.Comfortable with other advanced analytics tools such as Spark, and Tableau.A strong passion for business intelligence and analytics, work closely with the business teams, understand various requirements, and manage complex projects related to data-driven initiatives.Understanding of digital advertising landscape and KPIs for web / mobile / apps. Search engine marketing expertise, app-install marketing, and channel partners (e.g., agencies, mobile measurement) preferred.Education & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsMore