American Airlines

American Airlines

Data Scientist/Sr Data Scientist, IOC Analytics

Fort Worth, Texas, USA · Senior · full-time

Sponsorship not specifiedDetected 39 days ago
PythonJavaC++DatabricksAzureMachine LearningData AnalysisData ScienceStatisticsResearchLeadershipCommunicationPublic Speaking

About the role

  • 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.

Responsibilities

  • Develop business domain understanding, identify opportunities, and develop analytical solutions.
  • Engage in a broad spectrum of data science activities including data mining, data wrangling, building descriptive and predictive data models, visualization, development of recommendations, and presenting to business stakeholders.
  • Create compelling and holistic stories for communicating and visualizing insights based on data-driven recommendations to provide actionable insights that drive informed decisions for a variety of operations-related problems.
  • Why you'll love this job The role is a part of the Operations Decision Support team.

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.
  • We are responsible for helping to create and promote a cross-functional learning organization and continuous improvement culture through optimization modeling, advanced analytics, and data science.

This listing is sourced directly from American Airlines's careers page and normalized into a canonical job model.