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Principal Data Scientist – Research & Modeling

✈️ 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!

Average salary estimate

$125000 / YEARLY (est.)
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$100000K
$150000K

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
May 6, 2025

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