Applied Scientist, Amazon Ads

Amazon; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player is seeking a skilled Applied Scientist to lead their Media Planning Science program. In this pivotal role, you will leverage your machine learning expertise to drive innovative solutions that enhance advertising effectiveness and optimize media planning. You'll collaborate with diverse teams, shaping the applied science roadmap while conducting hands-on analysis of large datasets. This is a fantastic opportunity to make significant contributions to a dynamic team that is redefining advertising strategies through advanced data techniques. If you are passionate about machine learning and eager to tackle complex challenges, this role is perfect for you.

Qualifications

• 3+ years of experience in building machine learning models for business applications.
• Strong programming skills in Java, C++, or Python.

Responsibilities

• Lead machine learning projects and collaborate with cross-functional teams.
• Conduct analysis and modeling of large-scale data to drive business impact.

Skills

Machine Learning

Data Analysis

Statistical Analysis

Programming in Java

Programming in C++

Programming in Python

Algorithms and Data Structures

Numerical Optimization

Education

PhD in Computer Science

Master's degree in Computer Science

Tools

A/B Testing

APIs

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 and break fresh 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 program. 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 the complex tasks of forecasting, outcome prediction, budget planning, optimized audience selection and measurements for media planners. We integrate our insights into user interfaces and programmatic integrations via APIs, ensuring reliable data, timely delivery, and optimal advertising outcomes for our advertisers.

BASIC QUALIFICATIONS

• 3+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

PREFERRED QUALIFICATIONS

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

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.

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 this link for more information.

Posted: April 18, 2025 (Updated 2 days ago)