Data Scientist
Core
Design and deploy optimization models for dynamic resource allocation and scheduling in airline operations, including demand forecasting and constraint-based solutions.
Role type
Senior IC data scientist (operations optimization)
Builds
Production optimization models, demand forecasting solutions, and explainable decision support systems for airline operational teams.
Domain
Aviation / Airline Operations / Resource Optimization
Deliverable
production ML models
Required skills
constraint-based optimization, scheduling algorithms, combinatorial optimization, time-series forecasting, demand modeling, Databricks, MLflow, Delta Lake, Medallion architecture, data quality frameworks
Preferred skills
aviation domain knowledge, real-time data processing, Pyomo, PuLP, commercial solvers
Technologies
Databricks, MLflow, Delta Lake, Pyomo, PuLP
Responsibilities
Design and deploy constraint-based scheduling models for dynamic resource allocation; develop time-series forecasting solutions using historical operational data; lead full model lifecycle on Databricks with experiment tracking and versioning; create explainable AI outputs for non-technical stakeholders; build and maintain robust data pipelines with proactive data quality frameworks; validate model performance with customer stakeholders.
Seniority
Senior, hands-on IC
