Designation: Senior Data Scientist
Office Location: Remote
Position Description: We are looking for a highly skilled Mid–Senior Data Scientist to join our team and drive machine learning initiatives across our AdTech stack. The ideal candidate has strong experience in advertising optimization, user acquisition, recommendation systems, and predictive modeling, and can build scalable, production-ready ML solutions.
As part of our next-generation roadmap, we are actively investing in transformer-based architectures, graph-based learning, agentic AI pipelines, and state-of-the-art ML research to build best-in-class models for ad relevance, bidding efficiency, and user intelligence.
You will work closely with product, engineering, and business teams to design, build, and deploy models that directly impact campaign ROI and user engagement.
Key Responsibilities
Machine Learning & Modeling
1. Build and optimise models for:
Advertisement recommendation / personalization
User retargeting and funnel optimisation
User acquisition efficiency prediction
Bid prediction / CTR–CVR modeling
Time-series forecasting (spend, conversions, bids, seasonality)
2. Design and experiment with transformer architectures, graph neural networks, and agentic AI workflows for next-gen AdTech solutions.
3. Develop feature pipelines, embeddings, and scalable ML architectures.
Data Engineering & Production
Build end-to-end ML pipelines that run reliably in production.
Write clean, modular, and productive production-grade Python code.
Work with large-scale datasets using Spark, BigQuery, Hive, or similar big-data tools.
Collaborate with engineering to deploy models through APIs, microservices, and batch or streaming pipelines
Research & Problem Solving
Conduct analytical deep-dives to uncover insights around user behaviour, campaigns, and ad inventory.
Drive innovation by experimenting with transformers, GNNs, RL/agentic systems, and other frontier ML techniques.
Identify opportunities for automation
📌 Senior Data Scientist (India)
🏢 RevX
📍 India