Applied Scientist, Amazon Ads

Amazon Advertising; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading advertising technology company in Toronto seeks an accomplished machine learning expert to lead the Applied Science strategy for the Media Planning Science team. You will drive program success through ML-driven solutions and shape the applied science roadmap. The ideal candidate has 3+ years of experience in building models and holds a PhD or Master’s in a relevant field. This full-time role offers opportunities to influence decision-making and deliver impactful results.

Qualifications

• 3+ years of experience building models for business applications.
• Experience in professional software development.
• Excellent verbal and written communication skills.

Responsibilities

• Serve as the technical leader in Machine Learning, guiding efforts within the team.
• Conduct hands-on analysis and modeling of large-scale data.
• Lead end-to-end Machine Learning projects.

Skills

Machine Learning

Data Analysis

Programming in Python

Algorithms and Data Structures

High Performance Computing

Education

PhD or Master’s degree in CS, CE, ML, or related field

Tools

Java

C++

Job description

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, breaking new ground in product and technical innovations every day!

We are looking for an accomplished machine learning expert to lead the Applied Science strategy for our Media Planning Science team. In this role, you will work closely with business leaders, stakeholders, and cross-functional teams to drive program success through ML-driven solutions. You will shape the applied science roadmap, promote a culture of data-driven decision-making, and deliver significant business impact using advanced data techniques and applied science methodologies.

Key job responsibilities

As An Applied Scientist On This Team You Will

1. Serve as the technical leader in Machine Learning, guiding efforts within the team and collaborating with other teams.
2. Conduct hands-on analysis and modeling of large-scale data to generate insights that boost traffic monetization and merchandise sales while maintaining a positive shopper experience.
3. Lead end-to-end Machine Learning projects that involve high levels of ambiguity, scale, and complexity.
4. Build, experiment, optimize, and deploy machine learning models, collaborating with software engineers to bring your models into production.
5. Run A/B experiments, gather data, and perform statistical analysis to validate your models.
6. Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving.
7. Explore and research innovative machine learning approaches to push the boundaries of what’s possible.

About the team

The Media Planning Science team builds and deploys models that provide insights and recommendations for media planning. Our mission is to assist advertisers in activating plans that align with their goals. Our insights and recommendations leverage heuristic and machine learning models to simplify complex tasks such as forecasting, outcome prediction, budget planning, optimized audience selection, and measurement for media planners. We integrate our insights into user interfaces and programmatic integrations via APIs, ensuring reliable data delivery and optimal advertising outcomes for our advertisers.

• 3+ years of experience building models for business applications
• PhD or Master’s degree with 4+ years of CS, CE, ML, or related field experience
• Experience programming in Java, C++, Python, or related languages
• Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Experience in professional software development
• Excellent verbal and written communication skills

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 workplace accommodations or adjustments during the application and hiring process, including support for interviews or onboarding, please visit our support page for more information. If the country/region you're applying in isn’t listed, please contact your Recruiting Partner.

Key Skills

Laboratory Experience, Immunoassays, Machine Learning, Biochemistry, Assays, Research Experience, Spectroscopy, Research & Development, cGMP, Cell Culture, Molecular Biology, Data Analysis Skills

Employment Type : Full-Time

Experience : Years

Vacancy : 1