KTP Associate – Predictive Modelling, Causal Inference Data Scientist

Job Description

Responsibilities

• Develop causal inference and probabilistic forecasting models.
• Build counterfactual “what-if” analysis capabilities for marketing and pricing.
• Integrate models into Kodamai’s production platform.
• Collaborate with teams and supervise closely with academic leads.
• Opportunity to publish research and gain commercial exposure.

Requirements

• Expertise in predictive modelling, causal inference, applied mathematics, and statistics.
• Independent and motivated individual capable of driving forecasting and decision science.
• Development of causal inference and probabilistic forecasting models for high-volume data.
• Building counterfactual analysis capabilities for marketing, pricing, and operations.
• Collaboration with a second KTP Associate focused on cybersecurity.