Data Scientist - Airline Analytics & Production ML

TaskVerse; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Travel privileges

Health coverage

Dental coverage

Vision coverage

401(k)

Job summary

American Airlines is seeking a data science professional to advance analytics within the OR&AA team. You will identify opportunities, prepare data, and develop insights to influence decisions across pricing, scheduling, and operations. The role blends analytical thinking with strong communication and hands-on modeling.

You will move models toward production with IT, build dashboards, and help foster data-driven decision making across diverse stakeholders in a global airline environment.

Qualifications

• Master’s or PhD, or a bachelor’s degree with 2+ years of practical experience.
• Experience with at least one programming language and data extraction/analysis.
• Knowledge of statistical methods and machine learning techniques.
• Strong problem solving, communication, and stakeholder collaboration skills.

Responsibilities

• Identify high-impact opportunities with cross-functional teams.
• Ingest, clean, and analyze structured and unstructured data from diverse sources.
• Develop analytics models and proofs of concept; collaborate with IT to productionize.
• Monitor deployed models and maintain performance.
• Create dashboards and reports to translate findings into actions for stakeholders.
• Lead workshops and develop tutorials to share best practices across the organization.

Skills

Programming languages

Data analysis

ML concepts

Education

Master’s degree

PhD

Bachelor’s + 2 years experience

Tools

Azure Machine Learning

Databricks

Tableau

Power BI

SQL

MongoDB

Job description

American Airlines is seeking a data science professional to advance analytics within the OR&AA team. You will identify opportunities, prepare data, and develop insights to influence decisions across pricing, scheduling, and operations. The role blends analytical thinking with strong communication and hands-on modeling.

You will move models toward production with IT, build dashboards, and help foster data-driven decision making across diverse stakeholders in a global airline environment.