Senior Data Scientist - Ads

Senior Machine Learning Scientist (IC) AdTech

About the Team

Nykaas AdTech Data Science team is at the forefront of building intelligent, ML-powered advertising products including Sponsored Products, Display Ads, and Creative Personalization. We aim to serve highly relevant, personalized ads to millions of users while maximizing advertiser success through scalable, automated systems.

In this role, you will be a hands-on contributor driving the design, development, and deployment of core ML models powering Nykaas ad platform. You will collaborate closely with product, engineering, and business stakeholders to solve high-impact problems in advertising science.

What Are We Looking For?

Education

Bachelors or Masters degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related technical field from a reputable institution.

Experience

• 6+ years of experience building and deploying production-grade ML systems
• 2+ years of experience in AdTech(Bidding, Pacing of the Ad Spend), performance marketing, marketplace ranking systems, or large-scale recommender systems
• Proven experience taking ML models from ideation to production deployment
• Hands-on experience working on high-scale, real-time systems

Domain Expertise:

• CTR/CVR prediction and ranking systems
• Bid optimization and budget pacing
• Multi-objective optimization (e.g., balancing revenue, user experience, advertiser ROI)
• A/B experimentation and incrementality measurement
• Personalization and recommendation systems
• Exposure to Generative AI for creative optimization or personalization workflows is a plus

Technical Skills

• Strong foundation in ML algorithms (tree-based models, deep learning, optimization methods)
• Good understanding of reinforcement learning, multi-armed bandits, or Bayesian optimization (hands-on experience preferred but not mandatory)
• Proficiency in Python and ML frameworks such as PyTorch, XGBoost, LightGBM, or Scikit-learn
• Experience with large-scale data processing using PySpark, SQL, or similar technologies
• Experience deploying models in production (real-time inference, latency constraints, monitoring, retraining pipelines)
• Strong understanding of A/B testing design, experimentation frameworks, and metric evaluation

Responsibilities

ML Model Development

• Design and implement models for ad ranking, CTR/CVR prediction, bidding, and budget optimization
• Improve personalization strategies across sponsored and display ad formats
• Contribute to creative optimization efforts using ML and/or generative approaches

Productionization & System Thinking

• Build scalable data pipelines and model training workflows
• Work with engineering to ensure robust model deployment and monitoring
• Improve system performance with a focus on latency, scalability, and reliability

Experimentation & Impact

• Design and analyze online experiments to measure model impact
• Define success metrics aligned with advertiser performance and user engagement
• Continuously iterate based on data-driven insights

Cross-Functional Collaboration

• Partner with Product to define ML-driven features and roadmap priorities
• Communicate technical concepts clearly to non-technical stakeholders
• Contribute to design discussions and influence product decisions through data

Why Join Nykaa AdTech?

• Work on large-scale, real-world ML problems in advertising and personalization
• Build high-impact systems serving millions of users
• Contribute to shaping Indias leading beauty and lifestyle platforms AdTech ecosystem
• Be part of a fast-growing team blending ML, economics, and user experience