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DESCRIPTION

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of advertising tools within Sponsored Products and Sponsored Brands that drive discovery and advertiser growth. Our brand understanding products are strategically important to our advertisers, helping them propel long term growth across retail and marketplace businesses. We deliver billions of ad impressions and clicks daily and are breaking fresh ground to create world-class brand intelligence models and products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action.

Within Sponsored Ads Advertiser Growth organization, the Brand Intelligence team is on a mission to make Amazon the best in class destination for shoppers to discover, engage and build affinity with brands, thereby making shopping delightful, and a personalized experience. Our team builds the central brand understanding foundation for Amazon ads and beyond. We focus on enabling brands to align customers' shopping intent and position its unique value proposition via Amazon Ads. We provide large-scale offline and online brand understanding data services, powered by cutting edge Machine Learning technologies (e.g., Large-Language-Model, Multi-Modal Deep Neural Networks, Statistical Modeling).

We are looking for a passionate and visionary leader to lead a cross functional team Applied Scientist, Data Scientists, Business Intelligence Engineers and Machine Learning engineers. You will,
• Lead science and engineering strategy and roadmap to invent and build scalable solutions for a state-of-the-art context-aware Brand Understanding.
• Develop and manage a research agenda that balances short term deliverables with measurable business impact as well as long term investments.
• Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment
• Advance the team's engineering backbone and drive continued scientific innovation as a thought leader and practitioner.
• Foster cross-team collaboration to execute complex projects, drive alignment across organizations for science, engineering and product strategy to achieve business goals.
• Perform hands-on data analysis, build machine-learning models, run regular A/B tests, and communicate the impact to senior management.
• Collaborate with business and software teams across Amazon Ads.
• Stay up to date with recent scientific publications relevant to the team.
• Provide technical and scientific guidance to team members.
• Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.