Smadex is a leading advertising technology company founded in Barcelona in 2010 and sold to American-based and stock-listed Entravision in 2018 (NYSE::EVC). We are one of the top mobile ad-tech companies in the world and the largest Demand Side Platform (DSP) based in Europe, with our revenues over +$100M and consistently growing +40% YoY over the past years. And with an incredible 100% growth last year.

Our mission is to continue to improve our ad-tech platform, especially the core of it, our algorithms, to help our clients achieve their programmatic advertising campaign goals. We want to give our employees a job they’ll love, where they will be challenged to improve results through real-life engineering and data analysis and where everyone’s implication has an impact.

Are you ready to be part of the new unicorn? Keep reading!

As a Data Scientist embedded within our Machine Learning team, your mission is to bridge the gap between theoretical model design and real-world production reality. You will be the analytical anchor dedicated to ensuring the performance and stability of our core models (Deep Neural Networks and Gradient Boosting decision trees) within our high-frequency, complex auction ecosystem with millions of ad requests processed every second.

We are looking for a deeply analytical individual—someone who isn't satisfied with "it works," but needs to understand the system at a fundamental level. You will apply scientific rigor to drive measurable improvements in our live bidding performance.

• Deep-Dive Analysis: Conduct in-depth analysis of algorithms behavior in the live auctioned environment to understand how our algorithms interact with market dynamics.
• Model monitoring tools: Collaborate on the development and automation of advanced model performance monitoring tools. Understand our ML models in production. Develop tooling that helps the team understand why the models make specific predictions, moving beyond "black box" implementations.
• Experimentation: Design and analyze experiments, A/B testing, to validate hypotheses regarding bidding strategies and model improvements.
• System Optimization: Identify performance bottlenecks and propose architectural or feature enhancements to resolve non-optimal performance at the system level.

• Educational Background: A strong fundamental education (BSc, MSc, or PhD) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Data Science.
• Technical Stack: Python, SQL.
• Statistical Rigor: A deep understanding of Statistics and Probability theory.
• ML Knowledge: Familiarity with core ML architectures - Gradient Boosting, Deep Neural Networks.

Bonus Points (highly valued):

• Knowledge of Game Theory (auction dynamics).
• Background in Statistical Physics.
• Experience with Bayesian Inference.
• Discrete maths and graph theory

• Integrate a highly motivated and young team.
• Great compensation package.
• Top location at the heart of Barcelona in a penthouse office with a rooftop terrace, barbeque, and a fully stocked fridge.
• Work from home: 2 days/week
• Private Health Insurance
• Access to LinkedIn Learning
• Meal vouchers - Tickets Restaurant monthly allowance.
• Monthly gym allowance: Choose between DiR Gym and Wellhub
• Monthly TGIF events.
• Regular team-building events.
• Fun and friendly work environment with talented marketers and engineers from over 40+ countries
• And more!