Lead Data Scientist

Overview

Lead Data Scientist responsible for shaping and scaling data science solutions that influence commercial outcomes. You will lead yield optimisation and forecasting initiatives and provide people leadership across 24x7 production environments.

What you'll do

• Lead design, optimisation, and evolution of yield, pricing, and matching models to improve forecasting accuracy, stability, and explainability.
• Analyse large-scale historical trading and behavioural datasets to find patterns, risks, and opportunities for performance improvement.
• Define data science strategy for yield optimisation balancing innovation with robustness in live production environments.
• Partner with commercial, engineering, and product leaders to embed data-driven decisioning into operational workflows.
• Guide and mentor senior and mid-level data scientists, setting standards for analytical quality and delivery.
• Communicate complex technical findings clearly to non-technical audiences.

What you'll need

• Advanced expertise in data science and statistical modelling.
• Strong proficiency in Python or R and applied optimization techniques.
• Demonstrated experience leading yield, pricing, or optimization use cases within large-scale marketplaces or data-rich environments.
• Strong understanding of forecasting, optimization, and decision science in discrete choice or trading contexts.
• Experience with cloud-based data platforms and scalable analytics environments (AWS, Azure, Redshift).

Details

• Location: Hyderabad (International Tech Park), India.