Data Scientist
Skills
About the role
About Adsquare
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.
Role Overview
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.
Key Responsibilities
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.
Required Qualifications
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.
Preferred Qualifications
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.
Tech Stack
Languages: Python, SQL
Tools: AWS (SageMaker, Redshift, Athena), Snowflake, dbt, FastAPI, Docker
ML/AI: PyTorch, Scikit-learn, LangChain, Streamlit
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.
Yearly compensation: 60.000 € - 70.000 € OTE
Why Join Adsquare?
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.
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.
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
Compensation
This Data Scientist role pays $60k/yr. Within typical range for data scientist roles in Germany.
Questions about this role
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