Principal Data Scientist I
Core
Senior individual contributor applying advanced analytics, machine learning, and generative AI to solve complex aviation analytics challenges while shaping best practices and mentoring others.
Role type
Principal Data Scientist (hands-on IC)
Builds
Scalable data-driven solutions, predictive models, and ML systems for aviation customers (airlines, airports, tech giants)
Domain
Aviation analytics, advanced analytics, machine learning, generative AI
Deliverable
production ML models
Required skills
advanced analytics, machine learning, generative AI, data wrangling, feature engineering, scalable data pipelines, predictive modelling, deep learning, NLP, large language models
Preferred skills
simulations, graph-based models, time-series forecasting, geospatial modelling, causal inference, reinforcement learning, optimisation, anomaly detection
Technologies
Python (implied by coding/modelling context, but not explicitly listed as a tool name, so omitted per strict rule), SQL (not explicitly listed)
Responsibilities
define and evolve best practices for scalable ML solutions, provide thought leadership on emerging technologies, mentor and coach data scientists, collaborate with product/engineering to align initiatives, translate technical insights for stakeholders, lead hands-on coding and modelling, design/prototype innovative approaches, partner with engineering to deploy models to production
Seniority
Principal, hands-on IC with technical leadership and mentorship
