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.

• 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.

• 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.

• 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.

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

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.