✈️ About AirNxt
AirNxt is building the next generation of AI-powered MRO software to transform aviation maintenance, operations, and management. Our platform is designed to be intuitive, scalable, and high-performance, simplifying complex workflows and enhancing efficiency across the aviation industry.
As we scale, we’re looking for passionate professionals who thrive in agile environments and are eager to solve real-world aviation challenges using cutting-edge technology and innovative solutions. If that sounds like you, we’d love to hear from you!
Job Title: Principal Data Scientist – Research & Modeling
Location: Egypt
Type: Full-time
Team: Platform Delivery & Engineering
Reports to: Technical Project Manager – Platform Delivery & Architecture
⸻
🎯 Mission
As a Principal Data Scientist at AirNxt, you’ll operate at the intersection of mathematical theory and aviation innovation. You won’t just tune models — you’ll invent new ones. Your primary mission is to conduct applied research that shapes the future of predictive maintenance, routing optimization, anomaly detection, and operational intelligence in aviation.
We’re not looking for a model deployment specialist. We’re looking for a mathematician at heart — someone who thinks in distributions, questions assumptions, and thrives on deeply understanding data structures and behaviors before any line of production code is written.
⸻
🛠 What You’ll Do
Conduct research in advanced statistical modeling, probabilistic inference, time series forecasting, and graph theory
Design and prototype algorithms for predictive maintenance, anomaly detection, optimization, and decision intelligence
Explore, formulate, and mathematically validate hypotheses from domain data
Build theoretical models that inform business-critical logic before engineering implementation
Collaborate with domain experts and product teams to translate operational complexity into solvable research problems
Evaluate model explainability, robustness, and bias from first principles
Publish internal whitepapers and create technical documentation to guide engineering counterparts
Lead data exploration practices and identify hidden patterns, invariants, and high-value abstractions
Stay ahead of the curve by reviewing academic literature, exploring novel methods, and proposing new research initiatives
⸻
✅ You Should Have
8+ years of experience in data science or quantitative research roles
Advanced degree (Ph.D. or M.Sc.) in Mathematics, Statistics, Computer Science, or a related quantitative field is a plus.
Strong foundation in statistical learning, Bayesian modeling, stochastic processes, and optimization
Experience with Python (NumPy, SciPy, scikit-learn, PyMC, JAX) or R for mathematical computing
Ability to derive models from scratch — not just apply pre-built ML packages
Deep curiosity and a structured, hypothesis-driven approach to complex systems
Bonus: Exposure to aviation, logistics, operations research, or physical systems modeling
⸻
🧬 Our Stack & Context
Data Language: Python, SQL
Math & Modeling: PyMC, scikit-learn, XGBoost, Statsmodels, Prophet
Infrastructure: GCP, BigQuery, Firestore, Cloud Functions
Focus Areas: Predictive maintenance, resource optimization, real-time operational analytics
Research Edge: noisy sensor data, small-N time series, high-stakes operational decisions
⸻
🌍 Culture Fit
You think more like a mathematician than a machine learning engineer
You don’t just fit models — you understand the assumptions behind them
You’re skeptical by default and rigorous by habit
You love untangling ambiguity and designing clean abstractions from messy data
You see documentation, peer review, and reproducibility as pillars of impactful research
⸻
🚀 Success in 90 Days
You’ve delivered research prototypes or whitepapers that clarified key modeling directions
You’ve collaborated with engineers to define technically sound and feasible data features
You’ve introduced rigorous statistical or mathematical practices into the data pipeline
You’ve earned trust as a thought leader on uncertainty, causality, and modeling integrity
Your research has shaped product features, design decisions, or long-term data strategies
📍 Location & Work Environment
• Hybrid Options: Roles are primarily based in Dubai (HQ) and Cairo (Egypt Agile Hub) with flexibility for hybrid work depending on position requirements.
• Collaboration-Driven Culture: We value cross-functional teamwork, continuous feedback, and a growth mindset.
🔗 How to Apply
Click “Apply Now” to submit your application directly through Ashby. If you have any questions, reach out to talents@airnxt.ai.
🌍 AirNxt is an Equal Opportunity Employer.
We welcome applicants from all backgrounds and do not discriminate based on gender, race, disability, or any other protected status. We’re committed to fostering a diverse and inclusive team.
🚀 Join us and be part of shaping the future of aviation technology!
If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.
Hearts & Science seeks an experienced Data Science Manager to lead advanced ML modeling and campaign analytics within a hybrid work environment in Chicago.
Contribute to impactful data science projects at American Express driving sales growth and strategic analytics for Global Commercial Services.
Fabric is hiring an AI/ML Engineer to develop and deploy advanced AI-powered commerce solutions in a dynamic, remote environment.
Senior Data Scientist role at Wealthfront leveraging advanced analytics in investing to empower clients with accessible wealth management solutions.
Lead NIQ’s North America consumer data science initiatives by driving client-informed product enhancements as Director of Data Science.
Steampunk is seeking an experienced Data Scientist skilled in ML/AI, data modeling, and deep learning to enhance their federal data solutions team.
Lead Visa’s Consumer Data & Analytics initiatives, steering strategic data projects and driving innovation in data democratization for global payments.
Lead the design and implementation of machine learning models to boost Coupang Ads business growth in a dynamic, innovative e-commerce environment.
Innovate at Spotify as a Data Scientist II driving data insights and product scaling for the next-generation advertising platform.
Contribute to advancing AI by reviewing and improving LLM outputs at RYZ Labs, a cutting-edge remote startup studio focused on scalable, impactful technologies.
Lead revenue forecasting and financial strategy at Brex by developing advanced predictive models and bridging data science with finance.
Innovate merchant experiences as a Machine Learning Engineer building intelligent ML products at Loop within a collaborative data-driven team.
EverWatch seeks a skilled Data Analyst/Scientist to transform critical data into strategic insights for national defense missions.
Subscribe to Rise newsletter