Airline Revenue Optimization Expert

16 hours ago


Seattle, Washington, United States widenet Full time
Job Description
WideNet Consulting is seeking a highly skilled Data Scientist with a focus on revenue prediction and dynamic pricing. As an Airline Revenue Optimization Expert, you will work closely with the operations and revenue management teams to develop models and strategies that enhance pricing, revenue forecasting, and operational efficiencies.

Key Responsibilities:
  • Develop and implement dynamic pricing models that adapt to market conditions and customer demand to maximize revenue.
  • Build robust revenue forecasting models that account for various factors such as seasonality, customer behavior, and operational constraints.
  • Collaborate with operations teams to integrate predictive models into itinerary and scheduling systems, optimizing for revenue and operational efficiency.
  • Use advanced forecasting techniques and operations research methods to inform strategic decision-making.
  • Collect, process, and analyze large datasets from multiple sources, ensuring accuracy and completeness of data used for modeling.
  • Utilize PySpark and Databricks for large-scale data processing, model development, and deployment.
  • Optimize Spark services for efficient data processing and model execution.
  • Leverage Groovy or Ruby scripting languages for pipeline automation and data integration tasks.
  • Apply reference curve optimization techniques to fine-tune revenue models based on historical data and market conditions.

Qualifications:
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Operations Research, or a related field.
  • Proven experience in revenue prediction, dynamic pricing, or operations research, ideally within the airline or travel industry.
  • Strong hands-on experience with PySpark and Databricks for data engineering and model development.
  • Proficiency in programming languages such as Python, Groovy, or Ruby.
  • Deep understanding of forecasting methods, statistical modeling, and machine learning algorithms.
  • Experience with optimization techniques, including mixed integer programming and reference curve optimization.

Salary Range: $62.00 - $75.00 per hour, depending upon experience.

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