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Fetcherr is an AI company building responsible, transparent AI solutions that transform market complexity into measurable profit growth. The core product is the Market Model—a proprietary AI system delivering 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture using market data with full transparency, it has been deployed in global aviation with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul, delivering an average 7% profit uplift.
We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership with team management, responsible for building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.
The Price Optimization team is where insights become decisions. The team works with large-scale customer data and market predictions—such as demand forecasts—to drive revenue management decisions. You will design and maintain the decision-making engine: data pipelines that ingest customer data and run it through an optimization engine that simulates the market, weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies to generate optimal price recommendations. Quality, reliability, and attention to detail are critical.
Key Responsibilities:
- Manage a team of data scientists and data engineers building robust, scalable, high-performance data pipelines and infrastructure
- Design, build, and maintain distributed data processing workflows (batch and streaming)
- Drive best practices for data quality, validation, testing, and observability
- Own and evolve Fetcherr's data architecture in alignment with business and product goals
- Manage sprint planning, task breakdown, code reviews, and performance feedback
- Contribute hands-on to key development tasks and architecture decisions
- Recruit, mentor, and grow the data science engineering team
