Data Scientist

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 - 70.000

Recruiting Process

could require on site steps

• Step 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

Hybrid

Desired start date

Asap