Data Scientist/Sr Data Scientist, IT Operations Research and Advanced Analytics

Intro

Are you ready to explore a world of possibilities, both at work and during your time off? Join our American Airlines family, and you’ll travel the world, grow your expertise and become the best version of you. As you embark on a new journey, you’ll tackle challenges with flexibility and grace, learning new skills and advancing your career while having the time of your life. Feel free to enrich both your personal and work life and hop on board!

Why you'll love this job

This job is a member of the Operations Research and Advanced Analytics (OR&AA) team. Positioned within the Information Technology organization, the OR&AA team at American Airlines has a long history of being on the leading edge of analytics in the airline domain. Nearly four decades ago we launched the revenue management revolution with our yield management strategy. Today our diverse team of passionate analytics professionals supports decision making across the airline, including pricing and revenue management, fleet and network optimization, crew and flight scheduling, airport and maintenance operations and customer/social media analytics. We are constantly on the lookout to bring together exciting technologies, like the latest in cloud technology, with cutting-edge analytical methods, such as deep learning, computer vision, and natural language processing, to create a competitive edge for American.

What you'll do

As part of the OR&AA team, you will deliver data and analytics driven projects from beginning to end, by:

• Collaborative problem-solving: partner with cross-functional teams and other analytics professionals to identify high-impact business opportunities and frame analytical problems that align with organizational goals.
• Advanced modeling: develop, validate, and deploy models to solve complex business problems. Techniques include building predictive or classification models by employing statistical models, machine learning, deep learning, NLP, GenAI, LLMs, etc.
• Data acquisition and preparation: obtain, clean, and transform structured and unstructured data from diverse sources to ensure robust data pipelines. Perform exploratory data analysis to uncover insights.
• Deployment and maintenance: deploy models as proofs of concept and collaborate with IT engineers to integrate models into production environments. Monitor and maintain deployed models to ensure continued effectiveness.
• Data visualization and reporting: create compelling dashboards and reports to communicate findings to stakeholder, translating data insights into actionable business recommendations.
• Thought leadership and advocacy : promote data-driven decision-making across the organization by leading workshops, developing tutorials, and sharing best practices in data science.

All you'll need for success

Minimum Qualifications- Education & Prior Job Experience

• Master’s/PhD degree or Bachelor’s degree with 2+ years of equivalent practical experience in a quantitative discipline (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, Engineering, etc.)
• Experience with at least one programming language (e.g., Python, R, Java)
• Practical experience with data extraction, cleaning, and analysis
• Deep knowledge of statistical and machine learning techniques

Preferred Qualifications- Education & Prior Job Experience

• Practical experience in designing, building and deploying machine learning models.
• Expertise in working with cloud environments (e.g., Azure ML, Databricks) and managing production deployments.
• Hands-on experience with machine learning, deep learning, natural language processing (NLP), GenAI, recommender systems, experimentation (e.g., A/B testing).
• Proficiency in SQL and data visualization (e.g., Tableau, Power BI).
• Prior experience in consulting roles, demonstrating the ability to manage client relationships and deliver data-driven solutions.
• Domain knowledge in the airline industry or related fields is highly desirable.

Skills, Licenses & Certifications

• Demonstrated aptitude for logical analysis, problem identification, and problem solving
• Ability to view data from different angles to employ feature engineering techniques to better represent models
• Excellent interpersonal and communication skills with technical and non-technical audiences
• Ability to work on a diverse team or with a diverse range of coworkers

What you'll get

Feel free to take advantage of all that American Airlines has to offer: 
• Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network.
• Health Benefits: On day one, you’ll have access to your health, dental, prescription and vision benefits to help you stay well. And that’s just the start, we also offer virtual doctor visits, flexible spending accounts and more. 
• Wellness Programs: We want you to be the best version of yourself – that’s why our wellness programs provide you with all the right tools, resources and support you need.
• 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year.
• Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more



 

Feel free to be yourself at American

From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world.

Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life’s journey? Feel free to be yourself at American.