Time Series and Web Analytics Data Scientist
4 Months ago • All levels • $136,300 PA - $248,700 PA
Data Analysis
Job Description
The successful candidate will have extensive experience in applied methods such as predictive modeling, classification, and causal inference. They will also have experience in building reporting dashboards and using these methods to drive key business insights. This role requires a broad knowledge of data mining algorithms, a strong business sense, and the creativity to innovate and customize as needed. You will work closely with a variety of data professionals and business leaders on projects to drive real-world business value. Responsibilities include evaluating the impact of promotional/seasonal campaigns on sales, collaborating on planning tool development, exploring complex data sources to understand customer behavior, and guiding the translation of business requirements into technical implementation specifications for web and native app platforms.
A successful candidate will have deep experience in applied methods (predictive modeling, classification, causal inference), experience building reporting dashboards, and using those methods and tools to drive key business insights. The role requires both a broad knowledge of existing data mining algorithms, strong business sense, and creativity to invent and customize when necessary. 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. -Work across business teams to help evaluate the impact of promotional/seasonal campaigns on ASO sales. -Collaborate with partner teams in the development of planning tools that Commercial teams can use in their planning sessions. -Explore complex data sources, becoming a subject matter expert in customer behavior across Apple Online’s retail platforms. -Work with the team responsible for implementing analytics for apple.com, commerce analytics, marketing analytics, and performance optimization; guiding the translation of business requirements into technical implementation specifications for web and native app platforms.
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