Senior 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 tasks Your Mission As a Senior 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.

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. Your profile 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. Desired Background Our Software Stack Languages: Python, SQL Tools: AWS (SageMaker, Redshift, Athena), Snowflake, dbt, FastAPI, Docker ML/AI: PyTorch, Scikit-learn, LangChain, Streamlit Your Opportunities 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.