Principal Data Scientist

Overview

The Data Science team at Meesho serves as the critical problem-solving unit driving innovative solutions and intelligent systems for millions of users browsing thousands of product categories. Daily challenges include combating fraud, optimizing inventory, and customizing the platform linguistically for diverse markets.

Position Summary

As a Principal Data Scientist focused on the AdTech division, you will spearhead advancements in the advertising platform by applying sophisticated machine learning and statistical techniques. Your work will address issues such as real-time bidding, ad ranking optimization, budget management, and performance measurement that have a direct influence on business success. Strong technical skills paired with strategic business understanding are essential as you engage with cross-functional teams to convert data-driven insights into practical advertising strategies.

Key Responsibilities

• Develop advanced algorithms for bidding strategies, budget pacing, and maximizing return on ad spend.
• Establish methodologies and experimental designs to assess advertising effectiveness and calculate ROI.
• Partner with product and engineering teams to interpret business needs into robust AI/ML models.
• Articulate strategic plans and insights effectively to both technology experts and business stakeholders.
• Provide mentorship and technical leadership to less experienced data scientists.
• Lead cutting-edge research in machine learning, auction theory, and advertising technologies.

Required Qualifications

• Bachelor’s degree in Computer Science, Machine Learning, or a related discipline with over six years of experience in AI/ML research.
• Expertise in auction theory, predictive modeling, causal inference, and reinforcement learning techniques.
• Proficiency in machine learning frameworks such as PyTorch and TensorFlow, along with Python and big data tools.
• Experience mentoring junior team members and managing multiple complex challenges simultaneously.
• Strong communication skills capable of conveying intricate technical concepts to diverse audiences.

Preferred Qualifications

• Advanced degrees such as M.Tech or Ph.D. specializing in Machine Learning.
• More than three years of practical experience applying ML and statistical modeling within AdTech or comparable sectors.
• Familiarity with real-time bidding, programmatic advertising, or ad exchange systems.
• Successful track record translating research findings into product innovations.
• Notable publication history in premier AI conferences including NeurIPS, ICML, ICLR, KDD, CVPR, or AAAI.