Data Scientist/Sr Data Scientist, Technical Operations

About the position

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! The role is a part of the Technical Operations Performance and Analytics team within our Technical Operations group, which focuses on maintenance and overhaul of aircraft, aircraft safety, planning and scheduling aircraft maintenance, supply of necessary parts and tools, technical assistance, and strategic support.

Responsibilities

• Collaborate with teams across the business to translate their needs or challenges into machine learning or statistical problems.
• Build predictive forecasting systems to model future performance on known change.
• Support the development of data products through exploratory data analysis, feature engineering, and model building.
• Explore and create new datasets, identify key features, and identify new ones to be used in modeling.
• Effectively communicate complex experiments, models, and analytics outputs with partners in simple and actionable way.
• Able to communicate the analysis directly with leaders at the airports and within Technical Operations group.
• Design and manage feature-based datasets in Azure for streamline ML & AI.
• Other duties as assigned.

Requirements

• 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., SQL, Python, R, Java), software engineering best practices (including testing and version control), and machine learning libraries
• Practical experience with data extraction, cleaning, and analysis
• Deep knowledge of statistical and machine learning techniques

Nice-to-haves

• Experience with SQL and data visualization
• Practical experience designing, building and deploying machine learning models
• Experience working in a consulting role
• Domain knowledge in the airline industry is a plus
• Familiarity with deep learning, natural language processing, computer vision, recommender systems, experimentation (e.g., A/B testing) is a plus
• Experience in using cloud platforms and parallel processing is a plus
• Experience applying various data science techniques such as: Forecasting, Recommendation Systems, A/B Testing, Logistics Optimization, Churn Analysis, Segmentation Analysis, and Deep Learning
• Experience using Databricks, PySpark / Spark, Snowflake, dbt, Azure Cloud

Benefits

• Travel Perks: You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network.
• Health Benefits: Access to health, dental, prescription and vision benefits from day one.
• Wellness Programs: Programs providing tools, resources and support for personal well-being.
• 401(k) Program: Available upon hire with employer contributions after one year.
• Additional Benefits: Employee Assistance Program, pet insurance, and discounts on hotels, cars, cruises and more.