Build the Algorithms Behind the Future of Airline Pricing
At SAS, we are building next-generation Dynamic Pricing capabilities that will transform how airline offers are priced, customized, and optimized.
As a Dynamic Pricing Scientist, you will apply Operations Research, Statistics, Machine Learning, and Economic thinking to solve some of the most challenging commercial optimization problems in aviation.
You will work in a highly skilled team of scientists and product managers where your models will directly influence pricing decisions at scale, working at the intersection of mathematics, economics, customer behavior, and technology.
You will also own the science behind our Dynamic Pricing algorithms.
- Develop, improve, and deploy Dynamic Pricing models.
- Design optimization approaches that maximize revenue while delivering customer value.
- Analyze customer behavior, booking patterns, competitive dynamics, and market conditions.
- Collaborate with Product Managers to translate business opportunities into analytical solutions.
- Work closely with engineers to operationalize models in production environments.
- Design experiments and evaluate business impact.
- Contribute to the broader evolution of Revenue Management, pricing, forecasting, and optimization capabilities at SAS.
- Help define the future analytical agenda of Revenue Management and Network Optimization Science.