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Apple Marketing Data Scientist - Apple Pay United Kingdom, England, London 217788526
Today
Data Scientist's day-to-day activities will include, but not be limited to: - Perform diagnostic analyses, including ML/statistical modeling and causal inference analyses, to quantify the lift of marketing campaigns. - Analyze marketing campaign performance across channels using sophisticated statistical and econometrics models to derive actionable insights.- Conduct descriptive analysis and deep dives in large-scale data to identify key insights and opportunities that will craft the future of marketing strategy and user experience.- Design and run experiments (A/B, multivariate) to evaluate new product features and marketing strategies, and use statistical methods to ensure valid and reliable results.- Supervise experiment performance, conduct interim analyses, and communicate findings clearly to technical and non-technical audiences.- Build data/model pipelines to automate recurring data pull and modeling processes.
- Relevant background in Strategy & Planning, Analytics, Data Science
- Stakeholder Management: Outstanding verbal and written communication skills.
- Strategic thinking and a consultative approach
- Programming: Professional experience with SQL and Python.
- Visualisation: Proven experience with Tableau for data visualisation and dashboard development
- Prior professional experience in financial products and services
- Strong experience in Business Analytics and Consulting
- Proven experience in marketing, advertising, or customer analytics
- Data handling: Fluency with SQL queries in large and complex fragmented datasets and relational databases.
- Statistics: Expertise in causal inference modeling and advanced statistical/ econometrics models, including regression and time series modeling.
- Degree in Analytics, Data Science, Marketing or similar
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