Principal Data Scientist/ Data Science Manager- Ads team

3 days ago

Bengaluru, Karnataka, India Meesho Full time US$ 1,50,000 - US$ 2,00,000 per year

About the Role

As a Principal Data Scientist in our AdTech team, youll drive innovation in our advertising platform using advanced machine learning and statistical methods. Youll tackle complex problems in real-time bidding, ad ranking optimization, budget efficiency, and performance measurement that directly impact our businesss bottom line. This role requires technical excellence and business acumen and youll 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
  • 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).

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