Manager, Applied Science, Amazon Advertising

Amazon; Toronto; On-site; CAD 195,000 - 328,000; Full time

Job summary

A major global tech company in Toronto seeks a Manager, Applied Science to lead machine learning projects for advertising. The role involves building ML models, analyzing data, and collaborating with engineers while contributing to a rapidly growing business. The ideal candidate has a PhD or equivalent experience, with a strong programming background and expertise in large-scale data systems. This is a unique opportunity to influence advertising strategies and drive significant business outcomes.

Qualifications

• 3+ years of building machine learning models for business applications.
• Experience programming in Java, C++, Python, or related languages.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Drive end-to-end Machine Learning projects.
• Perform hands-on analysis and modeling of large data sets.
• Build machine learning models and collaborate with software engineers.
• Run A/B experiments and perform statistical analysis.
• Establish automated processes for data analysis and model development.

Skills

Machine learning model development

Statistical analysis

Programming (Java, C++, Python)

Neural deep learning methods

Large scale distributed systems

Education

PhD or Master's degree in a relevant field

Tools

R

scikit-learn

Spark MLLib

Tensorflow

Job description

Overview

Manager, Applied Science, Amazon Advertising

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. 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!

As An Applied Scientist On This Team, You Will

Responsibilities

• Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, and complexity.
• Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.
• Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
• Run A / B experiments, gather data, and perform statistical analysis.
• Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
• Research new and innovative machine learning approaches.
• Recruit Applied Scientists to the team and provide mentorship.

Why you will love this opportunity

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.

Team video: youtu.be/zD_6Lzw8raE

Basic Qualifications

• 3+ years of building machine learning models for business application experience
• PhD, or Master\'s degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country / region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary for this position ranges from $195,900 / year up to $327,200 / year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and / or other benefits. Applicants should apply via our internal or external career site.

Company - Amazon Canada Fulfillment Services, ULC.

Job ID : A2702553