Data Scientist II role responsible for leading data science initiatives, developing advanced ML models and algorithms for ad placement under privacy frameworks, optimizing budget allocation, conducting exploratory data analysis, and communicating findings to stakeholders. Requires 4+ years experience, strong Python and SQL skills, expertise in statistical analysis, experience with GCP services (BigQuery, AI Platform, Vertex AI), and familiarity with RAG, LLMs, LangChain, and LangGraph. Responsibilities include mentoring junior scientists, building AI agents and recommendation systems, and architecting orchestration workflows. Location: Gurugram and Bangalore, India.
What you'll do
Collaborate with business stakeholders to understand and translate their goals into data science initiatives, taking a leadership role in project definition
Lead the development and implementation of advanced machine learning models and algorithms to place ads in the context of cutting-edge privacy frameworks efficiently, ensuring scalability and robustness
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Requirements
Bachelor's or Master's in a quantitative field such as Computer Science, Statistics, Physics, or Mathematics
Exceptional problem-solving skills with a proven track record of tackling complex, ambiguous problems
Strong coding skills in Python, with experience in developing and deploying production-grade code
4+ years of relevant work experience in data science and machine learning, with a focus on leading projects
Solid background in advanced statistical analysis, hypothesis testing, experimental design, and causal inference
Expert proficiency in Python and SQL, with experience in optimizing queries and data processing
Preferred experience with GCP Platform, including expertise in relevant services like BigQuery, AI Platform, and Vertex AI
Exposure to RAG, LLMs, and agentic workflows - including advanced techniques in Finetuning & Evaluation, and prompt engineering
Deep familiarity and practical experience with LangChain, LangGraph, or similar orchestration toolkits, for building complex AI applications
Strong background in the AdTech space, particularly in optimization and bidding strategies (plus points)
Excellent communication and presentation skills with the ability to convey highly technical concepts to diverse audiences, including executive leadership
