Cargo Data Science Manager

Job Description

The air cargo industry is entering an accelerated phase of change and transformation. From digitalizing the end‑to‑end value chain to fortifying a true e‑commerce experience, Qatar Airways Cargo is leading the shift. The Data Analytics Team in Doha seeks a Cargo Data Science Manager to spearhead advanced cargo analytics and optimisation strategy, fostering a data‑driven decision‑making culture across the organization.

As the business expands, this manager will leading the development and implementation of advanced cargo analytics and optimisation strategies. The role will focus on critical areas such as cargo pricing strategy, capacity forecasting, route planning, operational efficiency and customer experience, while engaging in hands‑on data science projects and providing leadership to a team of data professionals.

• Lead and mentor a team of data scientists and analysts to design, develop, and implement advanced analytics solutions across the organization.
• Transform and elevate the data culture from descriptive analytics to predictive and prescriptive analytics through the implementation of predictive models and AI/ML.
• Lead the development of AI use cases across the organization through workshops aimed at collecting use cases across departments.
• Use AI/ML to improve load factor, turnaround times and fuel efficiency.
• Work with cross‑functional teams to understand business needs and identify opportunities to leverage data to drive business decisions.
• Coordinate and communicate with all stakeholders to manage projects and ensure tools satisfy stakeholder needs.
• Develop and maintain relationships with external data providers and partners.
• Monitor industry trends and best practices to keep the team up to date with the latest analytical and data management techniques.
• Innovate, improve and advance analytical capabilities within the organization by exploring state‑of‑the‑art tools used in the industry.
• Work closely with the Technical Team to ensure optimal performance of the analytical platform and improve processes within the team and the organization.
• Oversee the implementation of ETL processes, data models and data pipelines to ensure data is clean, accurate and available.

• Bachelor’s degree or equivalent with at least 4 years of job‑related experience.
• Proficient in Python (Pandas, Num Py, scikit‑learn, XGBoost, PyTorch/Tensor Flow).
• Advanced SQL for querying complex relational databases; experience in R or Scala is a plus.
• Hands‑on experience building and deploying predictive models (e.g., demand forecasting, dynamic pricing, load optimization).
• Familiarity with time‑series analysis, classification / regression and unsupervised learning (e.g., clustering for shipment segmentation).
• Working knowledge of data pipelines using tools like Airflow, dbt or Apache Spark; experience managing or working with ETL processes, data lakes and cloud data platforms (AWS Redshift, Google Big Query, Azure Synapse).
• Strong proficiency in Power BI and Tableau for executive dashboards; comfortable translating data insights into clear business presentations.
• Experience deploying models or data apps in cloud environments (AWS/GCP/Azure); familiarity with Docker, Kubernetes and CI/CD pipelines for MLOps.
• Experience in competitive, strategic business and/or financial assessment, trending and forecasting.
• Experience in a Network Strategy, Performance or Planning Environment.
• Prior experience within the Airline/Travel industry background or related field is an added advantage.

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We don’t slow down by the fear of failure; instead, we dare to achieve what’s never been done before.

If you’re ready to join a progressive team and have a challenging and rewarding career, upload your CV and complete our quick application form.