Intro
Adsquare's mission is centered on:
Passion: Solving complex challenges with exceptional people, technology, and data.
Niche: Specializing in Location Intelligence for Programmatic Advertisers.
Our work is guided by our core values, and we look for candidates who embody them:
Drive: Turning ambition into action that brings valuable outcomes.
Resilience: Adapting, persevering, and growing stronger through challenges.
No BS: Upholding honesty, transparency, and clear communication.
Humble: Valuing modesty and letting results speak for themselves.
Moral Compass: Acting with fairness, integrity, and respect.
Your Mission
As a Data Scientist 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.Your Profile
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.
Soft Skills & Personal Attributes:
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.
What you will do
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.
Nice to Have
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
Why us?
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
Salary Range (Annual On-Target Earnings)
60.000 - 70.000Recruiting Process
could require on site stepsStep 1: Short 30-min take-home technical quiz.
Step 2: Value-based interview (30 mins).
Step 3: Deep-dive technical interview (1.5 hours) with the Data team.
Step 4: Practical data-crunching challenge.
Step 5: Team Meet & Greet — the final step to ensure we’re a great fit for each other.
Work model
HybridDesired start date
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