Data Scientist - Analytics and ML

Overview WELCOME TO SITA’S AIRCRAFT BUSINESS UNIT SITA's Aircraft Business Unit makes flight operations, air traffic management and aircraft maintenance more sustainable and efficient by enabling collaboration between people and organizations in the air transport industry through: Communication – connecting aircraft and people around the world. Data & Platform - Turning aircraft data into valuable insight for the entire industry. Applications – Empowering the industry with user-friendly tools that make flight operations more sustainable and efficient. Ready to redefine air travel? The journey starts here, with you at SITA. ABOUT THE ROLE & TEAM We are seeking a Lead Data Engineer with expertise in AI agent systems and mathematical problem-solving frameworks to build and scale intelligent data platforms. This role focuses on designing systems where multiple AI agents collaborate to solve complex tasks, including analytical reasoning, optimization, and mathematical computation. You will lead the development of infrastructure that integrates LLMs, symbolic solvers, and data pipelines into cohesive, production-ready systems. WHAT YOU WILL DO Lead the design and scaling of intelligent data platforms where multiple AI agents collaborate to solve complex analytical and mathematical tasks. Design and implement multi-agent architectures where agents coordinate, communicate and execute workflows (planning, memory, tool usage). Build orchestration layers and guardrails, ensuring robustness, traceability, and observability of agent decisions. Integrate mathematical engines (symbolic and numerical solvers) and external tools/APIs into LLM-driven workflows. Engineer scalable batch and real-time data pipelines and data models supporting agent memory and retrieval (vector databases/RAG). Establish LLMOps/MLOps practices for deployment, monitoring, evaluation and testing (including mathematical correctness). Optimize performance and cost of LLM and compute-heavy workloads; drive CI/CD and operational excellence. Provide technical leadership: set best practices, mentor engineers, and translate business problems into AI-driven solutions. Qualifications WHO YOU ARE 6+ years in data engineering and/or distributed systems with hands-on delivery of production platforms. Strong Python and SQL skills; experience designing and operating data models, data quality controls and observability. Experience with distributed data processing and streaming (e.g., Spark, Kafka) and cloud platforms (AWS, Azure, or GCP). Experience building LLM-based systems; familiarity with agent frameworks (orchestration, tool usage, memory) and RAG/vector databases. Strong mathematical foundation (linear algebra, probability/statistics, optimization) and ability to translate business problems into formal models. Experience with scientific computing and/or solver integration (e.g., NumPy/SciPy/SymPy, optimization libraries, symbolic/numerical engines). Understanding of security best practices and governance for data/AI platforms (identity and access management, secrets management, auditability). Proven system design capability and technical leadership (architecture decisions, standards, mentoring). Aviation/OCC domain exposure is a strong advantage. WHAT WE OFFER We're all about diversity. We operate in 200 countries and speak 60 different languages and cultures. We're really proud of our inclusive environment. Our offices are comfortable and fun places to work, and we make sure you get to work from home too. Find out what it's like to join our team and take a step closer to your best life ever. 🏡 Flex Week: Work from home up to 2 days/week (depending on your team's needs) ⏰ Flex Day: Make your workday suit your life and plans. 🌎 Flex-Location: Take up to 30 days a year to work from any location in the world. 🌿 Employee Wellbeing: We have got you covered with our Employee Assistance Program (EAP), for you and your dependents 24/7, 365 days/year. We also offer Champion Health - a personalized platform that supports a range of wellbeing needs. 🚀 Professional Development: Level up your skills with our training platforms, including LinkedIn Learning! 🙌 Competitive Benefits: Competitive benefits that make sense with both your local market and employment status. SITA is an Equal Opportunity Employer. We value a diverse workforce. In support of our Employment Equity Program, we encourage women, aboriginal people, members of visible minorities, and/or persons with disabilities to apply and self-identify in the application process.