What are the responsibilities and job description for the Principal Data Scientist position at widenet?
Title : Revenue Management Data Scientist, Revenue Optimization Data Scientist, Pricing and Revenue Optimization Analyst, Revenue Forecasting Data Scientist, Operations Research Scientist (Revenue Management), Data Scientist - Revenue Management.
WideNet Consulting is seeking a highly skilled Data Scientist with a focus on revenue prediction and dynamic pricing. The ideal candidate will have a strong foundation in predictive modeling, data analysis, and optimization, specifically tailored to the airline industry. 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 :
- Dynamic Pricing Optimization : Develop and implement dynamic pricing models that adapt to market conditions and customer demand to maximize revenue.
- Revenue Prediction Modeling : Build robust revenue forecasting models that account for various factors such as seasonality, customer behavior, and operational constraints.
- Airline Itinerary Scheduling : Collaborate with operations teams to integrate predictive models into itinerary and scheduling systems, optimizing for revenue and operational efficiency.
- Forecasting & Operations Research : Use advanced forecasting techniques and operations research methods to inform strategic decision-making.
- Data Intake & Management : Collect, process, and analyze large datasets from multiple sources, ensuring accuracy and completeness of data used for modeling.
- Databricks & PySpark Expertise : Utilize PySpark and Databricks for large-scale data processing, model development, and deployment.
- Tuning Spark Services : Optimize Spark services for efficient data processing and model execution.
- Programming in Groovy or Ruby : Leverage Groovy or Ruby scripting languages for pipeline automation and data integration tasks.
- Reference Curve Optimization : Apply reference curve optimization techniques to fine-tune revenue models based on historical data and market conditions.
- Mixed Integer Programming : Use advanced optimization techniques such as mixed integer programming to solve complex operational and scheduling problems.
Qualifications :
Experience and Background :
Industries and Relevant Employers :
Pay Range : $62.00 - $75.00 per hour, depending upon experience.
Health & Medical Benefits, 401K, Employee Assistance Program, and Sick Time applicable by state.
Salary : $62 - $75
