Data Scientist with hands on Revenue management exp ...

Data Scientist with hands on Revenue management exp and Airline industry Location Houston TX HybridResponsibilitiesWork with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable prediction of customer behavior and operations performanceAssess the effectiveness and accuracy of new data sources data gathering and forecasting techniquesDevelop custom data models and algorithms to apply to data sets and run proof of concept studiesLeverage existing Statistical and Machine Learning tools to enhance inhouse algorithmsCollaborate with software engineers to implement and test production quality code for AIML modelsDevelop processes and tools to monitor and analyze data accuracy and models performanceDemonstrate software to customers and perform value proving benchmarks Calibrate software for customer needs and train customer for using and maintaining softwareResolve customer complaints with software and respond to suggestions for enhancementsRequired QualificationsAdvanced Degree in Statistics Operations Research Computer Science Mathematics or Machine LearningProven ability to apply modeling and analytical skills to realworld problemsKnowledge of machine learning techniques clustering decision tree learning artificial neural networks etc and statistical concepts regression properties of distributions statistical tests etcSolid programming skills 23 languages out of R SQL Python TensorFlow PySpark Java JavaScript or CAbsolutely must have graduate school level knowledge of Revenue Management models and algorithmsExperience minimum 4 out of 7 with deployment of machine learning and statistical models on a cloud1 MLOps within the enterprise CICD process for ML models 2 years2 Experience deploying ML APIs in production environments in GCP using GKE 2 years3 Experience in using GCP Vertex AI for ML and BigQuery 1 year4 Knowledge in Terraform and Containers technologies 2 years5 Experience writing data processing jobs using GCP Dataflow and Dataproc 2 years6 Experience setting up ML model monitoring and autoscaling for ML prediction jobs 1 year7 Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store Artifacts Registry and Analytics Hub 1 yearDesirable QualificationsFamiliarity with airline hospitality or retailing industries and decision support systems employed thereExperience developing customer choice models price elasticity estimation and market potential estimationUnderstanding of airline distribution pricing revenue management NDC and OfferOrder Management concepts"

Created: 2025-02-20