Data Scientist II, Ultra

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
• Develop and implement comprehensive strategies to optimize budget allocation in scenarios with high cardinality and uncertainty, driving significant business impact
• Conduct in-depth exploratory data analysis to discover complex data sets' patterns, trends, and insights, providing strategic recommendations
• Communicate complex analytical findings in a clear and actionable manner to non-technical stakeholders, including senior leadership, influencing strategic decisions
• Stay abreast of the latest advancements in data science, machine learning, and relevant technologies, driving adoption of best practices within the team
• Lead the development and training of sophisticated ML/DL models for forecasting/classification, optimizing for performance and interpretability
• Design and build robust AI agents & RAG-based systems, overseeing their deployment and maintenance
• Leverage data-driven insights and predictive modeling to build high-impact PoCs and transition them into production-ready solutions
• Design and implement advanced recommendation systems to improve campaign performance, and work on optimization techniques for these recommendation systems
• Architect and implement orchestration workflows using LangChain, LangGraph, or similar, ensuring efficient and scalable data pipelines
• Utilize advanced SQL for complex data analysis, feature engineering, and reporting, driving critical business intelligence
• Mentor and guide junior data scientists, fostering their professional growth and technical skills

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

Tech stack