Data Scientist/Sr Data Scientist, IT Analytics
american airlinesFort Worth (TX)
Data Scientist/Sr Data Scientist, IT Analytics
Posted today
american airlinesFort Worth (TX)
SENIORITY
Senior
About the role
Overview:
In this role within American Airlines' Operations Research and Advanced Analytics team, you apply analytics to improve decision making across revenue management, scheduling, and operations. You will collaborate with cross-functional partners to frame problems, prepare and analyze data, and deploy models into production while driving data-driven insights. The work combines advanced analytics with cloud-enabled tools to create measurable business impact and scale analytical solutions across the organization. Compensation / Benefits Travel perks to destinations across the global network Health, dental, vision, and prescription benefits from day one Wellness programs and tools 401(k) with employer contributions after one year Employee Assistance Program Discounts on hotels, cars, cruises
Responsibilities:
Collaborative problem-solving with cross-functional teams to identify high-impact opportunities Data acquisition and preparation from diverse sources; exploratory data analysis to uncover insights Deployment and maintenance of models in production environments with IT collaboration Data visualization and reporting to translate insights into actionable recommendations Thought leadership and advocacy to promote data-driven decision-making across the organization
Key requirements:
Master’s/PhD degree or Bachelor’s degree with 2+ years of equivalent practical experience Experience with at least one programming language Practical experience with data extraction, cleaning, and analysis Knowledge of statistical and machine learning techniques Excellent interpersonal and communication skills with both technical and non-technical audiences Problem solving and logical analysis aptitude Ability to work with people from diverse backgrounds Machine learning model design, building, and deployment Cloud environments and production deployments (e.g., Azure ML, Databricks) SQL, MongoDB, IMSDB
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A number in mind
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