Applied Science Manager, Sponsored Products Scaled

7 months ago

Toronto, Canada Amazon Development Centre Canada ULC Full time

4+ years of applied research experience
- 3+ years of scientists or machine learning engineers management experience
- PhD, or Master's degree and 6+ years of applied research experience
- Knowledge of ML, NLP, Information Retrieval and Analytics
- Experience programming in Java, C++, Python or related language
- Experience directly managing scientists or machine learning engineers

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day

Key job responsibilities

**As an Applied Science Manager in Sponsored Products, you will**:

- Directly manage and lead a cross-functional team of Applied Scientists, Data Scientists, Economists, and Business Intelligence Engineers.
- Develop and manage a research agenda that balances short term deliverables with measurable business impact as well as long term investments.
- Lead marketplace design and development based on economic theory and data analysis.
- Provide technical and scientific guidance to team members.
- 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 craftsmanship and drive continued scientific innovation as a thought leader and practitioner.
- Develop science and engineering roadmaps, run annual planning, and foster cross-team collaboration to execute complex projects.
- 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.
- Hire and develop top talent, provide technical and career development guidance to scientists and engineers within and across the organization.

A day in the life
A typical day might start with a review of the performance of currently running experiments, then a sync with your team and/or peers to compare notes and identify any high priority items. From there, you might participate in product or experiment design reviews, help define new approaches and evals to model a new idea. You might cap the day off with some 1:1 time to help develop your direct reports or mentor a staff member from another part of Amazon, or you might spend some time reading up on scientific papers relevant to the challenges your team will be facing in the near future.

About the team
Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.

**Impact and Career Growth**: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.

Toronto, ON, CAN
- Experience building complex software systems, especially involving deep learning, machine learning and computer vision, that have been successfully delivered to customers

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. If you would like to requ

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