Data Scientist/Sr Data Scientist, Technical Operations

Fort Worth, TX (onsite) role applying machine learning and statistical methods to support Technical Operations performance and analytics.

Responsibilities

• Partner with cross-business teams to translate needs and challenges into machine learning or statistical problem statements
• Build predictive forecasting systems to model future performance based on known change
• Support data product development using exploratory data analysis, feature engineering, and model building
• Source and create datasets, identify key features, and define new features for modeling
• Explain complex experiments, models, and analytics outputs to partners in a simple and actionable manner
• Communicate directly with airport and Technical Operations leaders
• Design and manage feature-based datasets in Azure to streamline ML and AI
• Perform 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)
• Experience with at least one programming language (e.g., Python, R, Java) and software engineering best practices (testing and version control)
• Working knowledge of machine learning libraries
• Practical experience with data extraction, cleaning, and analysis
• Deep knowledge of statistical and machine learning techniques
• Ability to complete technical interviews and take-home tests covering statistics, machine learning, SQL, Python, PySpark, and MLOps
• Experience with SQL and data visualization
• Practical experience designing, building, and deploying machine learning models
• Experience working in a consulting role
• Airline industry domain knowledge is a plus
• Deep learning, natural language processing, computer vision, recommender systems, and experimentation (A/B testing) are a plus
• Cloud platform and parallel processing experience is a plus
• Experience applying data science techniques including: Forecasting, Recommendation Systems, A/B Testing, Logistics Optimization, Churn Analysis, Segmentation Analysis, and Deep Learning
• Experience with Databricks, PySpark/Spark, Snowflake, dbt, and Azure Cloud
• Demonstrated aptitude for logical analysis, problem identification, and problem solving
• Ability to view data from multiple angles to improve feature engineering
• Ability to collaborate on a diverse team
• Ability to solve complex problems in a constrained, dynamic environment
• Ability to leverage airline business understanding and commercial goals to drive results and innovative solutions
• Adaptability to new ideas and business processes in an ever-changing marketplace
• Ability to challenge self and the team to develop future-oriented network strategies
• Strong communication and collaboration with cross-functional groups to drive outcomes for the airline
• Excellent interpersonal and communication skills with technical and non-technical audiences
• Skilled at sharing knowledge to build team expertise

Technologies

• Python, R, Java
• SQL
• PySpark, Spark
• MLOps
• Databricks
• Snowflake
• dbt
• Azure Cloud, Azure

Benefits

• Travel perks: access to 365 destinations and more than 6,800 daily flights across the global network
• Health benefits: health, dental, prescription, and vision benefits, plus virtual doctor visits and flexible spending accounts
• Wellness programs
• 401(k) program: available upon hire; employer contributions after one year, depending on workgroup
• Additional benefits: Employee Assistance Program, pet insurance, and discounts on hotels, cars, cruises, and more

Team and Role Context

• The Technical Operations division focuses on maintenance and overhaul of aircraft, aircraft safety, planning and scheduling aircraft maintenance, supply of parts and tools, technical assistance, and strategic support
• Position sits on the Technical Operations Performance and Analytics team within Technical Operations
• Role focuses on applying machine learning and statistical techniques to address complex Technical Operations challenges

Inclusion and Diversity

• Inclusion and diversity support the workforce at American Airlines
• 20+ Team Member Business Resource Groups focused on connecting team members to customers, suppliers, communities, and shareholders
• Business Resource Groups help team members reach their full potential and create an inclusive work environment