Applied Scientist - Jobs in Toronto, ON

Job Description

• PhD or equivalent Master's Degree plus 4+ years of experience in CS, CE, ML or related field
• 2+ years of experience of building machine learning models for business application
• Experience programming in Java, C++, Python or related language
• Experience applying statistical techniques to solve real business problems.
• Strong computer science grounding in a broad range of algorithms and data-structures.
• Proficiency with mathematical programming environments (R, Matlab, Numpy/Scipy, SAS, etc.)
• Programming skills sufficient to extract, transform, and clean large (multi-terrabyte) data sets in a Unix/Linux environment.
• Excellent critical thinking skills, combined with the ability to present your ideas clearly and compellingly in both verbal and written form.

As an Applied Scientist on this team you will:Build machine learning models and utilize data analysis to deliver scalable solutions to business problems.Perform hands-on analysis and modeling with very large data sets to develop insights that increase traffic monetization and merchandise sales without compromising shopper experience.Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders.Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.Research new predictive learning approaches for the sponsored products business.Write production code to bring models into production.The Sponsored Display Advertising team has an opening for an outstanding ML scientist who is passionate about applying advanced ML and statistical techniques to solve real-world challenges. Amazon's Sponsored Display Advertising program serves millions of personalized Ads every day. We buy Ad impressions in real-time auctions and algorithmically deliver the most relevant Ad. We delight in data, and are constantly working to enhance and improve our models. We relentlessly optimize to keep delivering the best possible Ads for our customers.You will work in an agile and fast-paced team of scientists and software engineers. The team is building a number of new advertising products, including dynamic video advertising, to improve the range of offerings for our advertisers and provide new Ad experiences for our customers. As a scientist on the team, you can be involved in every aspect of the process - from idea generation, business analysis and scientific research, through to development and deployment of advanced models - giving you a real sense of ownership. The systems that you help to build will operate at massive scale to display ads to customers around the world. From day one, you will be working with experienced scientists, engineers, and designers who love what they do.We are looking for ML scientists who can delight our customers by continually learning and inventing. Our ideal candidate is an experienced ML scientist who has a track-record of performing analysis and applying statistical techniques to solve real business problems, who has great leadership and communication skills, and who is motivated to achieve results in a fast-paced environment. The position offers an exceptional opportunity to grow your technical and non-technical skills and make a real difference to the Amazon Advertising business.Why you love this opportunityAmazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering 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 highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career GrowthYou 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 fundamentally 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.Team video https://youtu.be/zD_6Lzw8raE

• Published research work in academic conferences or industry circles.
• Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
• Technical leadership in machine learning.
• Effective and crisp verbal and written communication skills with non-technical and technical audiences.
• Experience working with very large real-world data sets and building scalable models from big data.
• Demonstrated successful industrial experience, drives results.

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