Haystack
← Back to Jobs
Full time
Technology
AA

Data Scientist, Customer Analytics

American AirlinesFort Worth, Texas🇺🇸United StatesPosted 27 Aug 2026

Why This Role Stands Out

This hybrid Data Scientist role at American Airlines offers a fantastic opportunity to leverage your machine learning and statistical analysis skills to directly impact customer loyalty and revenue within a globally recognized company. You'll thrive here if you enjoy translating complex data into actionable insights and collaborating with diverse teams to drive innovation, with excellent growth potential and travel benefits. Apply now to shape the future of customer analytics in the airline industry!

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Fort Worth, Texas, United States
GCPAWSTableauAzurePower BIPython

Job Description

American Airlines seeks a Data Scientist/Senior Data Scientist to drive customer analytics that improve loyalty, personalization, and revenue. You will build predictive and segmentation models, design experiments, and turn complex customer data into clear, actionable insights for marketing, digital, and operations teams. Partner closely with stakeholders to define problems, evaluate opportunities, and measure business impact. You'll work in a fast-paced, global airline environment that values safety, reliability, and collaboration, with strong opportunities for growth and travel benefits.

Responsibilities

  • Develop and deploy predictive and segmentation models to drive customer analytics and loyalty strategies.
  • Analyze large, complex customer datasets to uncover trends and opportunities that improve personalization and revenue.
  • Design and evaluate A/B tests and experiments to measure the impact of marketing, digital, and operational initiatives.
  • Partner with marketing, digital, and operations teams to translate business problems into data science solutions.
  • Communicate findings and recommendations through clear visualizations, presentations, and reports for non-technical stakeholders.
  • Collaborate with data engineering to improve data quality, pipelines, and model deployment processes.

Required Skills

  • Python
  • SQLMachine learning modeling
  • Statistical analysis (A/B testing, hypothesis testing)
  • Customer segmentation and clustering
  • Predictive modeling and forecasting
  • Data visualization (Tableau/Power BI)
  • Cloud data platforms (e.g., Azure, AWS, GCP)
  • Feature engineering and model evaluation
  • Big data tools (e.g., Spark, distributed computing)

Similar jobs