Senior Data Scientist

Level: Associate to Principal /Lead – title and scope matched to your experience

Our client is not a research lab publishing papers that sit on arXiv. They’re not a consultancy building POCs that never see daylight. They are putting machine learning into production at scale, where latency is measured in milliseconds and mistakes impact millions of users.

You will design, develop, train, and deploy ML models that power recommendation, personalization, computer vision, NLP, and forecasting systems. Your models won’t be experiments. They go live to web, mobile, and broadcast platforms within weeks, serving 10M+ users. You’ll solve messy, real‑world problems like cold start, imbalanced data, 100ms latency budgets, regulatory constraints, and editorial policy. This isn’t Kaggle. You’ll work embedded with Product and Engineering, with direct access to the business problem and weekly reviews with the CTO. There is no throw it ove...