Head of Data science

Our client is building an AI-native data infrastructure platform from the ground up. This is a true 0-1 build - no legacy stack, no legacy thinking. We are looking for a Head of Data Science to be the founding data science leader.

This is a player-coach role for a builder who combines deep technical depth with extreme ownership and a bias for shipping.

You will own the data science charter end-to-end: from defining the initial architecture and use-cases, to building the first team, to deploying AI-native capabilities that become core to the platform itself. You will work directly with Founders / C-suite and Engineering leadership.

If you want to architect how modern companies build on data with AI at the core, this is that role. A. ROLE MANDATE 0-1 Platform Leadership: Define and own the data science vision, strategy, and roadmap for an AI-native data infra platform.

Build & Scale the Function: Be the founding leader - hire, mentor, and scale a high-caliber team of Data Scientists and ML Engineers. Set the culture, bar, and operating principles from day one. Ship AI into the Core Product: Not AI as a feature - AI as the foundation.

Design intelligent systems that power automation, discovery, governance, quality, and decisioning within the data stack itself. B. ROLES & RESPONSIBILITIES 1. Strategy & 0-1 Execution Translate ambiguous 0-1 product vision into a concrete data science roadmap with clear milestones and business impact.

Own projects from conception -> prototype -> production -> iteration in a fast-moving environment. Partner with Product and Engineering to make critical build vs. buy, architecture, and modeling decisions for the platform. 2.

AI-Native Solution Development Design, build, and deploy production-grade ML / GenAI systems that are native to the data infrastructure layer - e. g. intelligent data discovery, auto-optimization, anomaly detection, semantic layer, LLM-powered data agents, and self-healing pipelines.

Lead full lifecycle development: data