Urgently Hiring: Data Scientist with Airline Revenue exp
Job Highlights:Position: Data ScientistCompensation: a competitive salaryLocation: RemoteCompany: Airline Revenue ExpStart Date: Immediate openings available  Data Science Engineer - Remote
Responsibilities
 Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable prediction of customer behavior and operations performance.
 Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques.
 Develop custom data models and algorithms to apply to data sets and run proof of concept studies.
 Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms.
 Collaborate with software engineers to implement and test production quality code for AI/ML models.
 Develop processes and tools to monitor and analyze data accuracy and models performance.
 Demonstrate software to customers and perform value proving benchmarks. Calibrate software for customer needs and train customer for using and maintaining software.
 Resolve customer complaints with software and respond to suggestions for enhancements.
Required Qualifications
 Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learning.
 Proven ability to apply modeling and analytical skills to real-world problems.
 Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.).
 Solid programming skills 2-3 languages out of R, SQL, Python, TensorFlow, PySpark, Java, JavaScript or C++.
 Absolutely must have: graduate school level knowledge of Revenue Management models and algorithms.
 Experience (minimum 4 out of 7) with deployment of machine learning and statistical models on a cloud:
 MLOps within the enterprise CI/CD process for ML models  2 years
 Experience deploying ML APIs in production environments in GCP using GKE  2 years
 Experience in using GCP Vertex AI for ML and BigQuery  1 year
 Knowledge in Terraform and Containers technologies  2 years
 Experience writing data processing jobs using GCP Dataflow and Dataproc  2 years
 Experience setting up ML model monitoring and autoscaling for ML prediction jobs  1 year
 Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry and Analytics Hub  1 year
 Desirable Qualifications
 Familiarity with airline, hospitality or retailing industries and decision support systems employed there.
 Experience developing customer choice models, price elasticity estimation and market potential estimation.
 Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts. Apply Job! Join Our Team!This is a fantastic opportunity to grow your career. If you have the skills and passion we're looking for, please submit your application today.
Apply Now
Responsibilities
 Work with subject matter experts from airlines to identify opportunities for leveraging data to deliver insights and actionable prediction of customer behavior and operations performance.
 Assess the effectiveness and accuracy of new data sources, data gathering and forecasting techniques.
 Develop custom data models and algorithms to apply to data sets and run proof of concept studies.
 Leverage existing Statistical and Machine Learning tools to enhance in-house algorithms.
 Collaborate with software engineers to implement and test production quality code for AI/ML models.
 Develop processes and tools to monitor and analyze data accuracy and models performance.
 Demonstrate software to customers and perform value proving benchmarks. Calibrate software for customer needs and train customer for using and maintaining software.
 Resolve customer complaints with software and respond to suggestions for enhancements.
Required Qualifications
 Advanced Degree in Statistics, Operations Research, Computer Science, Mathematics, or Machine Learning.
 Proven ability to apply modeling and analytical skills to real-world problems.
 Knowledge of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and statistical concepts (regression, properties of distributions, statistical tests, etc.).
 Solid programming skills 2-3 languages out of R, SQL, Python, TensorFlow, PySpark, Java, JavaScript or C++.
 Absolutely must have: graduate school level knowledge of Revenue Management models and algorithms.
 Experience (minimum 4 out of 7) with deployment of machine learning and statistical models on a cloud:
 MLOps within the enterprise CI/CD process for ML models  2 years
 Experience deploying ML APIs in production environments in GCP using GKE  2 years
 Experience in using GCP Vertex AI for ML and BigQuery  1 year
 Knowledge in Terraform and Containers technologies  2 years
 Experience writing data processing jobs using GCP Dataflow and Dataproc  2 years
 Experience setting up ML model monitoring and autoscaling for ML prediction jobs  1 year
 Understanding of machine learning concepts to scale ML across different services by leveraging Feature Store, Artifacts Registry and Analytics Hub  1 year
 Desirable Qualifications
 Familiarity with airline, hospitality or retailing industries and decision support systems employed there.
 Experience developing customer choice models, price elasticity estimation and market potential estimation.
 Understanding of airline distribution, pricing, revenue management, NDC and Offer/Order Management concepts. Apply Job! Join Our Team!This is a fantastic opportunity to grow your career. If you have the skills and passion we're looking for, please submit your application today.
Apply Now