About The ePlane Company The ePlane Company is at the forefront of India's urban air mobility revolution. Incubated at IIT Madras, we are a deep-tech startup dedicated to designing and building the world's most compact electric flying taxi. Our mission is to make door-to-door flying a reality, drastically reducing commute times and decongesting our cities for a cleaner, greener future. We're a passionate team of engineers, designers, and visionaries working on cutting-edge technology, and we're looking for brilliant minds to help us take flight. Chart the Course for the Future of Flight Lead the development to build demand modelling and network-level analytics that power mobility platforms. Ride-hailing platforms have solved route-level demand forecasting, origin-destination pair analysis, network elasticity, and real-time demand signal extraction at a scale that aviation market research has historically not looked towards. We are looking for someone who brings that analytical sophistication into the aviation context. This position requires a deep quantitative background in high-frequency mobility networks (Ride-hailing/Aviation). You will be responsible for predicting the impact our aircrafts will have in different geographies and regions of the world. This position is a combined role between technical and strategy/BD Roles and Responsibilities • Build and own complex, multi-modal demand models to simulate passenger flow and network elasticity, and fleet dynamics. • Utilize historical data and external variables to forecast market penetration and route-specific demand. • Analyse market share dynamics and pricing strategies from traditional airlines and ground transportation. • Define the Go-to-Market geographical sequence based on data-driven demand clusters. • Maintain the highest standards for code quality, including conducting rigorous code reviews, developing comprehensive unit tests, and producing clear, thorough documentation. Requirements Required Qualifications • 7+ years of professional experience in ridehailing demand modelling or airliners with genuine depth in quantitative demand modelling • Proven track record in Demand Modeling and Supply-Demand Balancing at a network scale. • Proven understanding of fundamental data structures and the ability to apply them to solve complex problems. • Hands-on experience developing and implementing optimization-based solutions using libraries such as NLopt, Ceres Solver, g2o, or similar. • Ability to oversee and peer-review high-complexity optimization frameworks • Proficiency in statistical modelling with the ability to build and run regression models, not just use pre-built tools • Comfort with large, messy, multi-source datasets • Experience with Monte Carlo simulation or probabilistic forecasting Preferred Qualifications • Experience with modern software development methodologies, including Agile, CI/CD pipelines, and version control (Git). • Experience with GDP-elasticity or econometric demand forecasting • Rock-solid understanding of mathematics, particularly linear algebra, multivariate calculus, differential equations, probability theory • Aviation industry exposure like airline revenue management, OEM market research, IATA economics, or aviation consultancy • Familiarity with fleet databases • Understanding of Multimodal Elasticity Benefits What We Offer • The opportunity to work on a groundbreaking product that will redefine urban transportation. • A dynamic, fast-paced, and collaborative work environment with a brilliant and passionate team. • Competitive salary and benefits. • A culture of innovation where your ideas can directly impact the future of flight