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Data Scientist for Machine Learning Team

Smadex SLU

Role overview

Qualifications

  • BSc, MSc, or PhD in Mathematics, Statistics, Physics, Computer Science, or Data Science
  • 5+ years of applied Data Science and Machine Learning experience
  • Deep understanding of Statistics and Probability theory
  • Expertise with core DNN and ML architectures

Responsibilities

  • Understand ML models in production and explain their predictions
  • Conduct in-depth analysis of model behavior in live auction environments
  • Design and analyze A/B testing experiments
  • Identify performance bottlenecks and propose enhancements

Key facts

Hard skills

Other skills

  • Analytical Thinking
  • Problem Solving
  • Teamwork
  • Communication

About the company

Smadex SLU logo

Smadex SLU

AdTech & Programmatic Advertising

Smadex is a Mobile Growth Platform that powers performance, direct response, and brand advertising campaigns across in-app, CTV, and mobile web. With transparency and contextual targeting at its core, customers can rely on Smadex as a trusted partner to run privacy-centric advertising campaigns with optimized creative strategies to deliver performance. Smadex scales campaigns with customizable machine-learning algorithms - fed by a multitude of contextual signals and first-party data to find audiences that resonate and convert for your app, game, brand, or offer. Smadex is focused on helping customers unlock performance and scale in a privacy-compliant manner to build long-term sustainable value. Advertisers can access global consumers on the highest quality brand safe and viewable inventory at scale and capture attention using strong and engaging ad formats to drive performance sales and brand metrics. Smadex partners with the leading third-party platforms to provide the most innovative solutions and independent measurement. Our open platform can easily plug and play with any new external partners. Smadex is a technology company led by engineering and data science, working with agencies and direct clients across the globe. Smadex is a business unit of Entravision Communications (NYSE: EVC)

Company details

IndustryAdTech & Programmatic Advertising
Company size501 - 1000

Links

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Job description

Smadex is a performance advertising engine for mobile apps, enabling the world's leading marketers to grow across Mobile and Connected TV (CTV). Powered by AI models trained on real campaign outcomes, Smadex delivers profitable growth at scale. Headquartered in Barcelona, with teams across the Americas, EMEA, and APAC, Smadex is a business unit of Entravision (NYSE: EVC).

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!

Ad-tech is one of the most demanding environments for machine learning. At its core, our DSP operates as an ultra-low-latency recommender system, matching the right ad to the right user in milliseconds. You will be operating at massive scale under strict latency constraints, solving unique modeling challenges that aren't even covered in current scientific literature.

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, interpretability and stability of our core Deep Neural Networks models within our high-frequency, complex auction ecosystem with millions of ad requests processed every second.

We are looking for a deeply analytical individual with very strong ML expertise—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.

Your Tasks and Responsibilities:
 
  • Model Understanding and Training: Understand our ML models in production at a fundamental level, explaining why they make specific predictions and, behave in the way they behave. To do so, you will autonomously formulate different hypotheses and validate them by performing the appropriate data analyses and by training different models to compare the results.
  • Deep-Dive Auction Dynamics Analysis: Conduct in-depth analysis of model behavior in the live auctioned environment to understand how our algorithms and models interact with market dynamics.
  • Experimentation: Design and analyze experiments, A/B testing, to validate hypotheses regarding bidding strategies and model improvements.
  • System Optimization: Identify performance bottlenecks in the models and propose architectural or feature enhancements to resolve non-optimal performance at the system level.

What are we looking for:

 
  • Educational Background: A strong fundamental education (BSc, MSc, or PhD) in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or Data Science.
  • Experience: 5+ years of applied Data Science and Machine Learning, training and analyzing DNN models.
  • Technical Stack: Python, SQL.
  • Statistical Rigor: A deep understanding of Statistics and Probability theory.
  • ML Knowledge: Expertise with core DNN and ML architectures

Please note that we do NOT provide VISA sponsorship. Candidates without a legal permit to work in Spain won't be considered.

What’s in it for you:

  • 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!

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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