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Apple Data Scientist United States, California, Cupertino 639670407
08.06.2025
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APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Prioritize, plan, design and execute analyses that have direct and measurable impact to Apple’s website. Measure and analyze impact of online site changes on online and offline traffic on Apple.com. Build and automate data pipelines using Teradata SQL and PIE Compute. Provide critical analysis and business insights to help inform and optimize search on Web and App. Analyze & Build dashboards for various Retail Marketing campaigns like Black Friday, Back to School, Chinese New Year using SQL and Tableau. Work crossfunctionally across - Apple Online Store, Marcom, Apple Care Digital, Apple Media Products, Retail Product Management, Retail Marketing and Artificial Intelligence and Machine Learning teams for Search analytics and reporting. Build & automate FTP process to send data files to different marketing & advertising agencies. Deploy scripts to PROD using version control systems like GIT. Conduct end-to-end analysis that includes data gathering and requirements specification, processing, analysis, recommendations and presentations for Apple.com interactive projects. Maintain and Improvise Test analytics models in Python and analyze chat and social data using Apple tools to understand customer sentiments and interests. Analyzelarge volumes of data using Adobe Analytics, Tableau, Teradata SQL, Excel and Keynote and present results to group of audience. 40 hours/week. At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,500 - $248,700/yr and your base pay will depend on your skills, qualifications, experience, and location.
- Master’s degree or foreign equivalent in Data Science, Analytics, Biotechnology or related field and 2 years of experience in the job offered or related occupation.
- Experience and/or education must include:
- SQL
- Adobe Analytics
- Tableau
- Python
- R
- Social and Text Analytics
- Data ETL Tools (Snowflake, Dremio)
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