Data Scientist
Core
Design causal-uplift measurement frameworks, lead data discovery, and conduct research to quantify the incremental impact of pricing models and translate complex data into actionable insights for airline business logic.
Role type
Senior IC data scientist (causal inference & pricing analytics)
Builds
Causal-uplift measurement frameworks, pricing algorithm insights, and decision intelligence pipelines
Domain
Aviation, transportation, and logistics
Deliverable
production ML models
Required skills
Python (pandas, numpy, scikit-learn, statsmodels), SQL (BigQuery, Dataform, GCP), causal inference, uplift modeling, A/B testing, statistical analysis, mathematical optimization
Preferred skills
Domain knowledge in airlines/transportation/logistics, anomaly detection, mathematical optimization
Responsibilities
Design and operationalize causal-uplift measurement frameworks; Lead data discovery and translate multidimensional data into actionable insights; Conduct research and experimentation for novel uplift measuring approaches; Collaborate with revenue managers and engineers to encode airline business logic into modeling pipelines
Seniority
Senior, hands-on IC
