Machine Learning Scientist / Applied Scientist, EU Prime and Marketing Analytics & Science (PRIMAS)

TL;DR

Machine Learning Scientist / Applied Scientist (Marketing Analytics): Designing and executing rigorous experiments to measure marketing campaign effectiveness at Amazon scale with an accent on building measurement frameworks, experimental standards, and causal inference. Focus on optimizing marketing spend, analyzing experiment results, and providing data-driven recommendations.

Location: This role is focused on the EU region, with the hiring entity being Amazon Spain Services, S.L.U. Candidates should be based within the EU.

Company

hirify.global, specifically part of the WW Integrated Marketing Systems and Intelligence (WIMSI) team, accelerates marketing technology capabilities for customer experiences across the marketing funnel.

What you will do

• Own end-to-end measurement for lifecycle marketing campaigns.
• Design and execute rigorous experiments (RCTs, geo-tests, audience holdouts) to measure campaign effectiveness across marketing channels.
• Build scalable measurement frameworks and establish experimental best practices for lifecycle marketing.
• Apply causal inference methods to measure incremental impact and navigate measurement challenges across different platforms.
• Analyze experiment results and provide optimization recommendations based on statistical evidence.

Requirements

• PhD in computer science, machine learning, engineering, or related fields.
• Experience in patents or publications at top-tier peer-reviewed conferences or journals.
• Experience in algorithms and data structures, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
• Experience building machine learning models or developing algorithms for business application.
• Proficiency in programming languages such as Python, Java.
• English: B2 required.

Nice to have

• Experience in professional software development.
• Experience in designing experiments and statistical analysis of results.

Culture & Benefits

• Amazon is an equal opportunities employer, valuing a diverse workforce as central to its success.
• Recruiting decisions are based on experience and skills, with a passion to discover, invent, simplify, and build.
• An inclusive culture empowers Amazonians to deliver the best results for customers.
• Workplace accommodation and adjustment support is available for disabilities during the application and hiring process.