Data Scientist

• End-to-End ML Development: Design, train, and deploy machine learning models at scale, focusing on location intelligence and audience attributes.
• Production Excellence: Partner with Data/ML Engineers to ensure models are robust, monitored, and seamlessly integrated into our cloud-native production workflows.
• Strategic R&D: Lead research initiatives involving LLMs (LangChain, MCPs, specialized agents) and classical statistical/ML modeling to solve complex spatial problems.
• Data Advocacy: Conduct rigorous EDA and experiment design to ensure data quality and provide actionable insights for strategic decision-making.
• Scientific Contribution: Represent Adsquare by contributing to peer-reviewed publications and staying at the forefront of spatial data science.

• Experience: 5+ years (B.S.), 3+ years (M.S.), or 1+ year (Ph.D.) in a hands-on Data Science role.
• Theoretical Mastery: Strong foundation in Probability, Inferential Statistics, Linear Algebra, and Experimental Design.
• Python Stack: Expert proficiency in pandas, scikit-learn, PyTorch/TensorFlow, and FastAPI.
• Large-Scale Data: Proven experience querying and manipulating TB-scale datasets using SQL (e.g., BigQuery, Athena, Redshift, or Snowflake).
• Cloud Production: Experience deploying and monitoring models within AWS (SageMaker, Lambda) or similar cloud environments.

Educational Background:

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., * A strong commitment to Adsquare's core values: Drive, Resilience, No BS, Being Humble, and a strong Moral Compass.

• Exceptional written and verbal communication skills, with the ability to translate complex technical concepts into clear, actionable insights.
• A proactive, research-driven approach to creatively and precisely solving complex challenges., * Data Modeling: Experience with dbt and modern data stack orchestration.
• Generative AI: Hands-on experience building LLM-based applications using e.g., LangChain, MCPs, Streamlit.
• Domain Expertise: Prior experience in Programmatic Advertising or Geospatial/GIS data.

Our Software Stack

• Languages: Python, SQL
• Tools: AWS (SageMaker, Redshift, Athena), Snowflake, dbt, FastAPI, Docker
• ML/AI: PyTorch, Scikit-learn, LangChain, Streamlit

On top of a competitive package…, * We are open to flexible work models: we work on a hybrid mode and remotely from anywhere in the world up to 3 months per year

• To encourage education and professional growth, we offer an individual yearly budget of 1.200€
• You are entitled to 30 vacation days per year
• We offer Urban Sports Club membership, company pension scheme
• Regular team events and company events organised by our People team (Trust us, they know how to throw a party!)
• We equip you with the latest hardware and provide you with all the tools you need to thrive