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Data Scientist​/Sr Data Scientist, Technical Operations

Job in Fort Worth, Tarrant County, Texas, 76102, USA
Listing for: American Airlines
Full Time position
Listed on 2026-09-30
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer, Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Data Scientist/Sr Data Scientist, Technical Operations View Profile

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Data Scientist/Sr Data Scientist, Technical Operations Posting

Start Date:

9/28/26

Location
:

DFW Headquarters Building 8 (DFW-SV08)
Cities
:

Fort Worth - TX
Requisition :88137

Job Description
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.

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 Experience

  • Master’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 libraries
  • Practical experience with data extraction, cleaning, and analysis
  • Deep knowledge of statistical and machine learning techniques
  • Ability 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 Experience

  • Experience with SQL and data visualization
  • Practical experience designing, building and deploying machine learning models
  • Experience working in a consulting role
  • Domain…
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