About the Team
Our Data Science team is the Avengers to Meesho’s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We’ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.
Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.
About the Role
As a Principal Data Scientist in our AdTech team, you’ll drive innovation in our advertising platform using advanced machine learning and statistical methods. You’ll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our business’s bottom line. This role requires technical excellence and business acumen and you’ll collaborate with cross-functional teams to transform data insights into actionable strategies that enhance our advertising ecosystem.
What you will do
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.
What you will need
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).
