Machine Learning Scientist (AI)

TL;DR

Machine Learning Scientist (AI): Designing and executing rigorous experiments to measure the effectiveness of lifecycle marketing campaigns at scale with an accent on causal inference and statistical rigor. Focus on building measurement frameworks, isolating causal effects, and establishing experimental standards for marketing across the EU.

Location: Must be based in Madrid, Spain

Company

A global technology leader focused on e-commerce, cloud computing, and artificial intelligence.

What you will do

• Own end-to-end measurement for lifecycle marketing campaigns using RCTs, geo-tests, and audience holdouts.
• Build scalable measurement frameworks and experimental best practices across activation platforms.
• Apply causal inference methods to measure the incremental impact of marketing campaigns.
• Analyze experiment results to provide data-driven optimization recommendations.
• Establish experimental standards, guardrails, and success criteria for campaign evaluation.
• Collaborate with business leaders and senior science leads to guide marketing strategy.

Requirements

• PhD in computer science, machine learning, engineering, or related fields.
• Proven experience in patents or publications at top-tier conferences or journals.
• Strong background in algorithms, data mining, or distributed computing.
• Experience building machine learning models for business applications.
• Proficiency in Python, Java, or C++.
• Must be based in Madrid, Spain.

Nice to have

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

Culture & Benefits

• Inclusive and diverse work environment.
• Focus on innovation, invention, and simplification.
• Commitment to data privacy and security.
• Support for workplace accommodations and adjustments.