Data Scientist for Digital Marketing Optimization
1 week ago
Wayfair is seeking a skilled Data Scientist to join our Bidding and Decisioning team under Wayfair Marketing Science. As a key member of the team, you will be responsible for developing and managing machine learning models and strategies to optimize marketing decisions across paid media channels. This includes spend management, content optimization, segmentation, and campaign structures across major digital ad platforms like Google, Meta, Pinterest, and Microsoft Bing.
Responsibilities:- Identify new opportunities and evolve the spend management optimization framework, expanding its coverage for new use cases.
- Build and implement ML solutions to enhance efficiency, defining problem statements, and delivering against technical and research objectives in a timely manner.
- Collaborate cross-functionally with Marketing, MarTech (Product & Engineering), and ML Platform teams to align roadmaps, adopt best practices, and build scalable, sustainable bidding solutions.
- Bachelor's or advanced degree in Computer Science, Economics, Mathematics, Statistics, or related field.
- 3-6 years of experience as an ML engineer, applied scientist, or research scientist, with a proven track record of delivering ML projects autonomously and driving measurable business impact, particularly in digital marketing decisioning (e.g., spend management, content optimization, segmentation) and/or ML decisioning systems.
Wayfair offers a competitive salary of $140,000 - $180,000 per year, depending on experience, plus a range of benefits including health insurance, retirement plan, and paid time off.
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Étreux, Hauts-de-France, United States Wayfair Full timeAbout the RoleWe are seeking a highly skilled Data Scientist for Digital Marketing Optimization to join our team at Wayfair. This is an exciting opportunity to work with cutting-edge technology and drive business growth through data-driven decision making.Key ResponsibilitiesDevelop and implement machine learning models to optimize digital marketing spend...
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