Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. 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 and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products. You will lead the team through architecture decisions, development, and deployment of mission-critical systems—while growing and mentoring a high-performing team. Responsibilities Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure. Design, build, and maintain distributed data processing workflows (batch & 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 for your team. Contribute hands-on to key development tasks and architecture decisions. Recruit, mentor, and grow the data science engineering team. Requirements Proven experience as a Data Scientist. Proven experience designing and maintaining large
