Technical Lead - Mobility Analytics & Network Strategy

Ubifly Technologies; Chennai District; Vor Ort; INR 3.500.000 - 7.000.000; Vollzeit

Zusammenfassung

The ePlane Company, incubated at IIT Madras, seeks a Technical Lead to architect mobility analytics and network strategy for urban air mobility. You will lead high-frequency demand modelling and aviation-market research to predict aircraft impact across geographies.

The role combines technical rigor with strategic BD, overseeing optimization frameworks and Monte Carlo forecasting to guide product development and market entry.

Qualifikationen

• 7+ years of professional experience in ridehailing demand modelling or airliners with strong quantitative demand modelling.

Aufgaben

• 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 high code quality with reviews, unit tests, and thorough documentation.

Kenntnisse

Demand modelling

Market forecasting

Statistical modelling

Monte Carlo simulation

Optimization frameworks

Tools

NLopt

Ceres Solver

g2o

Jobbeschreibung

Technical Lead - Mobility Analytics & Network Strategy

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.

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

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