Data Scientist / Sr. (Customer Analytics)

About The Company

American Airlines is a leading global airline committed to delivering exceptional travel experiences to millions of passengers worldwide. With a rich history spanning decades, the company prides itself on safety, innovation, and customer satisfaction. Operating a vast network of domestic and international routes, American Airlines offers comprehensive travel solutions, leveraging cutting-edge technology and a dedicated workforce to maintain its position as one of the world's largest and most respected airlines.

About The Role

We are seeking a highly skilled Data Scientist to join our dynamic analytics team at American Airlines. In this role, you will be pivotal in transforming raw data into actionable insights that inform strategic decisions across sales, revenue management, and operational efficiency. You will collaborate closely with cross-functional teams, including IT, marketing, and commercial operations, to develop sophisticated models, automate data processes, and support business growth initiatives. Your expertise will help optimize revenue streams, enhance customer experiences, and maintain our competitive edge in the airline industry.

Qualifications

• Master's degree in Data Science, Applied Mathematics, Statistics, Computer Science, or related field
• Minimum of 2+ years of practical experience in data analysis, modeling, or a related role
• Proficiency in programming languages such as Python, R, or Java
• Experience with machine learning, AI techniques, and statistical analysis
• Hands-on experience with data extraction, cleaning, and analysis from large datasets
• Knowledge of data visualization tools such as Tableau or Power BI
• Familiarity with cloud platforms like AWS, Azure, or Databricks is preferred
• Experience within the airline, transportation, or logistics industry is a plus
• Strong problem-solving skills and the ability to communicate technical insights effectively to non-technical stakeholders

Responsibilities

• Manage and lead projects aimed at enhancing data models, analytics processes, and reporting capabilities to support sales and revenue optimization
• Collaborate effectively with internal teams and external vendors to implement data-driven solutions
• Utilize various databases and programming tools to process and analyze complex datasets
• Identify best practices for data governance, automation, and process improvements
• Validate and cleanse data to ensure accuracy and integrity in accordance with business rules and standards
• Stay updated with industry trends and emerging technologies to keep American Airlines at the forefront of analytics innovation
• Translate technical analysis into strategic business recommendations and present findings to stakeholders
• Extract insights from large datasets using statistical, machine learning, and AI techniques to solve complex business problems

Benefits

• Travel Perks: Enjoy the ability to travel to over 365 destinations worldwide with discounted fares for you, your family, and friends
• Health Benefits: Comprehensive health, dental, vision, and prescription coverage starting from day one, including virtual healthcare options
• Wellness Programs: Access to resources and programs designed to support your physical and mental well-being
• Retirement Plans: 401(k) plan with employer contributions available after one year of service, helping you plan for your future
• Additional Perks: Employee Assistance Program, pet insurance, and discounts on hotels, rental cars, cruises, and more to enhance your lifestyle

Equal Opportunity

American Airlines is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other protected status. We encourage individuals from all backgrounds to apply and join our team, fostering a workplace where everyone can thrive and contribute to our shared success.