Associate Data Scientist, PRM

About the Role

The Associate Data Scientist, Pricing & Revenue Management Decision Science will join a team that delivers solutions to business problems by employing operations research, statistical, machine learning, product management, data engineering, and programming skills. This role offers the opportunity to see the direct impact of your work and to suggest new ideas and approaches.

Key Responsibilities

• Design, execute, and deliver advanced quantitative analyses and models using operations research, statistical, machine learning, product management, and programming skills to drive decision-making and actions, either by analysts or by systems.
• Employ data engineering and programming skills to clean data, create data flows and pipelines for models to run, and deploy them to production.
• Collaborate with partner teams (pricing, yield management, ancillary, etc.) to understand issues, enhance existing, and create new production models and automated solutions.
• Share and present the results of analyses and models with stakeholders including upper-level management.
• Work primarily in Python, SQL, or other coding languages.
• Develop hypotheses to test and understand what can and cannot be inferred from the results.
• Mentor and collaborate with other team members.
• Create and maintain code standards, participate in code reviews, and document workflows, models, and code.
• Assist with reporting as needed.

Requirements & Tech Stack

• Bachelor’s Degree or higher in Economics, Computer Science, Statistics, Mathematics, Engineering, or related field.
• Previous professional use of SQL, Python, R, or other coding languages.
• Previous professional use of statistical analysis.
• Python, SQL, or other coding languages.

Qualifications

• Master’s degree in Computer Science, Data Science, Business Analytics, or other analytically focused programs preferred.
• Experience in an airline pricing, yield- or revenue management, revenue analytics, revenue systems, or similar role preferred.
• Proven ability to independently perform quantitative analysis and model development.
• Able to apply concepts from economics and pricing management to coding models and analytical products.
• Able to efficiently summarize analytic approaches and products and present insights and actions to upper management.
• Understanding of operations research, statistical, machine learning, product management, and/or programming solutions and techniques.
• Able to effectively deploy data engineering solutions.
• Excellent analytical and quantitative skills.
• Excellent written and verbal communications skills.
• Good attention to detail for reporting and analysis.
• Ability to work collaboratively with other departments, partners, and staff.