Principal Data Scientist
Indexed description
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.
- 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.
- 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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