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Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. The company's core technology is the Market Model—a proprietary AI-powered system delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture using market data with full transparency, it is deployed across volatile markets including global aviation, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul, delivering an average profit uplift of 7%.
The Large Market Model (LMM) group is seeking a Director of Data Science to lead production engineering, overseeing MLOps, ML engineering, and data engineering. This role owns the end-to-end ML lifecycle of the market model—from data pipelines through model training and serving to production monitoring and reliability.
Key responsibilities include:
- Setting priorities across MLOps, ML engineering, and data engineering functions alongside LMM management and senior executives, and translating roadmap into executable work
- Managing the leads running these functions and holding them accountable to commitments
- Staying close to production systems, owning delivery dates, reliability, and incident response
- Owning infrastructure for model training, serving, and large-scale data processing, including cost management
- Defining and tracking KPIs for the group and reporting progress and risks to senior management, product, and commercial teams
- Partnering with the applied research team to move research results into production
- Hiring and retaining senior engineers, determining group staffing and structure
- Setting engineering standards for CI/CD, automated testing, observability, and model monitoring
Requirements:
- Proven experience leading high-paced, AI-first groups
- Track record of delivering systems running live in front of customers
- Ability to manage technical leads and hold teams accountable
- Strong understanding of ML infrastructure, MLOps, and production systems
- Experience with model training, serving, and large-scale data processing
- Capability to balance technical depth with strategic roadmap setting
