<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>About Adsquare</strong></p><p><br/></p><p>Adsquare's mission is centered on:</p><p><br/></p><ul><li><strong>Passion:</strong> Solving complex challenges with exceptional people, technology, and data.</li><li><strong>Niche:</strong> Specializing in Location Intelligence for Programmatic Advertisers.</li></ul><p><br/></p><p>Our work is guided by our core values, and we look for candidates who embody them:</p><p><br/></p><ul><li><strong>Drive:</strong> Turning ambition into action that brings valuable outcomes.</li><li><strong>Resilience:</strong> Adapting, persevering, and growing stronger through challenges.</li><li><strong>No BS:</strong> Upholding honesty, transparency, and clear communication.</li><li><strong>Humble:</strong> Valuing modesty and letting results speak for themselves.</li><li><strong>Moral Compass:</strong> Acting with fairness, integrity, and respect.</li></ul><p><br/></p><p><strong>Role Overview</strong></p><p><br/></p><p>As a <strong>Data Scientist</strong> at Adsquare, you will transform massive geospatial and behavioral datasets into production-ready intelligence. You won't just build models in a vacuum; you will collaborate with ML Engineers and Product owners to integrate advanced analytics into our core programmatic advertising platform. This role is a blend of high-scale engineering and rigorous scientific research.</p><p><br/></p><p><strong>Key Responsibilities</strong></p><p><br/></p><ul><li><strong>End-to-End ML Development:</strong> Design, train, and deploy machine learning models at scale, focusing on location intelligence and audience attributes.</li><li><strong>Production Excellence:</strong> Partner with Data/ML Engineers to ensure models are robust, monitored, and seamlessly integrated into our cloud-native production workflows.</li><li><strong>Strategic R&amp;D:</strong> Lead research initiatives involving LLMs (LangChain, MCPs, specialized agents) and classical statistical/ML modeling to solve complex spatial problems.</li><li><strong>Data Advocacy:</strong> Conduct rigorous EDA and experiment design to ensure data quality and provide actionable insights for strategic decision-making.</li><li><strong>Scientific Contribution:</strong> Represent Adsquare by contributing to peer-reviewed publications and staying at the forefront of spatial data science.</li></ul><p><br/></p><p><strong>Required Qualifications</strong></p><p><br/></p><ul><li><strong>Experience:</strong> 5+ years (B.S.), 3+ years (M.S.), or 1+ year (Ph.D.) in a hands-on Data Science role.</li><li><strong>Theoretical Mastery:</strong> Strong foundation in Probability, Inferential Statistics, Linear Algebra, and Experimental Design.</li><li><strong>Python Stack:</strong> Expert proficiency in pandas, scikit-learn, PyTorch/TensorFlow, and FastAPI.</li><li><strong>Large-Scale Data:</strong> Proven experience querying and manipulating TB-scale datasets using SQL (e.g., BigQuery, Athena, Redshift, or Snowflake).</li><li><strong>Cloud Production:</strong> Experience deploying and monitoring models within AWS (SageMaker, Lambda) or similar cloud environments.</li></ul><p><br/></p><p><strong>Preferred Qualifications</strong></p><p><br/></p><ul><li><strong>Data Modeling:</strong> Experience with dbt and modern data stack orchestration.</li><li><strong>Generative AI:</strong> Hands-on experience building LLM-based applications using e.g., LangChain, MCPs, Streamlit.</li><li><strong>Domain Expertise:</strong> Prior experience in Programmatic Advertising or Geospatial/GIS data.</li></ul><p><br/></p><p><strong>Tech Stack</strong></p><p><br/></p><ul><li><strong>Languages:</strong> Python, SQL</li><li><strong>Tools:</strong> AWS (SageMaker, Redshift, Athena), Snowflake, dbt, FastAPI, Docker</li><li><strong>ML/AI:</strong> PyTorch, Scikit-learn, LangChain, Streamlit</li></ul><p><br/></p><p><strong>Educational Background</strong></p><p><br/></p><p>Bachelor’s or Master’s degree (Ph.D. is an advantage) in a relevant quantitative empirical science field (e.g., Mathematics, Physics, Statistics, Engineering, Machine Learning, Computer Science, Economics, Social Sciences, Psychology, Neuroscience) or equivalent practical experience.</p><p><br/></p><p><strong>Soft Skills &amp; Personal Attributes</strong></p><p><br/></p><ul><li>A strong commitment to Adsquare's core values: Drive, Resilience, No BS, Being Humble, and a strong Moral Compass.</li><li>Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear, actionable insights.</li><li>A proactive, research-driven approach to creatively and precisely solving complex challenges.</li></ul><p><br/></p><p><strong>Yearly compensation:</strong> 60.000 € - 70.000 € OTE </p><p><br/></p><p><strong>Why Join Adsquare?</strong></p><p><br/></p><p>At Adsquare, you will work at the cutting edge of data science and machine learning in a dynamic, value-driven environment. We are committed to our team's growth, empower you to challenge the status quo, and offer a platform where your contributions directly shape the future of location intelligence for programmatic advertisers.</p><p><br/></p><p>If you are passionate about leveraging data science to drive innovation, eager to contribute to a talented team, and committed to our core values, we encourage you to apply.</p><p><br/></p><p>On top of a competitive package…</p><p><br/></p><ul><li>We are open to<strong> </strong>flexible work models<strong>: </strong>we work on a hybrid mode and remotely from anywhere in the world up to 3 months per year</li><li>To encourage education and professional growth, we offer an individual yearly budget of 1.200€</li><li>You are entitled to 30 vacation days per year</li><li>We offer Urban Sports Club membership, company pension scheme</li><li>Regular team events and company events organised by our People team (Trust us, they know how to throw a party!)</li><li>We equip you with the latest hardware and provide you with all the tools you need to thrive</li></ul><p><br/></p><p><strong>Apply Now!</strong></p> </div>