Principal Data Scientist

Our Data Science team is at the forefront of building intelligent systems for millions of users across various product categories. As a Principal Data Scientist in our AdTech team, you'll drive innovation in our advertising platform using advanced machine learning and statistical methods.

Responsibilities:

• Design and develop sophisticated bidding, budget pacing and other algorithms that optimize ad spend or ROI.
• Create frameworks and experimental design to measure ad effectiveness and ROI.
• Collaborate with product and engineering teams to translate business requirements into efficient AI/ML solutions.
• Communicate long-term roadmap, insights and recommendations to tech and business leadership.
• Mentor junior data scientists and provide technical guidance.
• Lead research initiatives in machine learning, auction theory and advertising technology.

Requirements:

• B.Tech in Computer Science, Machine Learning, or a related field with at least 6+ years of experience in AI/ML research.
• Experience in auction theory, predictive modelling, causal inference, and reinforcement learning.
• Expertise in PyTorch or TensorFlow, and proficiency in Python as well as big data technologies.
• History of mentoring junior data scientists, and comfortable in driving multiple problem statements.
• Excellent communication skills, able to explain complex concepts to both technical and non-technical audiences.

Preferred Qualifications:

• M.Tech or Ph.d in Computer Science with a specialization in Machine Learning.
• 3+ years of experience applying machine learning and statistical modeling in AdTech, or related domains.
• Exposure in real-time bidding systems, programmatic advertising, or ad exchanges.
• Track record of successful research-to-product transitions.
• Strong publication record in top AI conferences (e.g., NeurIPS, ICML, ICLR, KDD, CVPR, AAAI).