Overview

Intro Are you ready to explore a world of possibilities, both at work and duringyour 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 Responsible for applying machine learning and statical techniques to help solve complex Technical Operations challenges. Technical Operations Division 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. The role is a part of the Technical Operations Performance and Analytics team within our Technical Operations group. What you'll do As noted above, this list is intended to reflect the current job but there may be additional essential functions (and certainly non-essential job functions) that are not referenced. Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations. 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. Datasets includes subject areas such as maintenance discrepancies, production bill of work, airline flight schedules, parts and tooling inventory, aircraft out of service, productivity, etc. 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. Analysis may include flight dispatch reliability, productive aircraft scheduling, execution of routine maintenance, operational performance, etc. Design and manage feature-based datasets in Azure for streamline ML & AI. Other duties as assigned. All you'll need for success Minimum Qualifications- Education & Prior Job ExperienceMaster'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), software engineering best practices (including testing and version control), and machine learning librariesPractical experience with data extraction, cleaning, and analysisDeep knowledge of statistical and machine learning techniquesAbility to successfully complete technical interviews and take-home test in areas of statistics, machine learning, SQL, Python, PySpark, and MLOps. Preferred Qualifications- Education & Prior Job ExperienceExperience with SQL and data visualization Practical experience designing, building and deploying machine learning modelsExperience working in a consulting roleDomain knowledge in the airline industry is a plusFamiliarity with deep learning, natural language processing, computer vision, recommender systems, experimentation (e.g., A/B testing) is a plusExperience in using cloud platforms and parallel processing is a plusExperience applying various data science techniques such as: Forecasting, Recommendation Systems, A/B Testing, Logistics Optimization, Churn Analysis, Segmentation Analysis, and Deep LearningExperience using Databricks, PySpark / Spark, Snowflake, dbt, Azure Cloud Skills, Licenses & CertificationsDemonstrated a