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Airlines Data Science Jobs in Texas (NOW HIRING)

Sr Data Scientist

Fort Worth, TX · On-site

$40 - $45/hr

Master or PhD degree with 5 years of experience in quantitative discipline (e.g., Data Science ... Domain knowledge in the airline industry * Experience working in a consulting role Skills, Licenses ...

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Airlines Data Science information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do airlines data science jobs pay per year?

As of Sep 2, 2026, the average yearly pay for airlines data science in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What is an airlines data scientist?

Airlines Data Scientists are professionals who use data analysis, statistical modeling, and machine learning techniques to solve problems and improve operations within the airline industry. They analyze large datasets related to flight operations, customer behavior, revenue management, and scheduling to help airlines optimize routes, pricing, and customer experience. Their work enables airlines to make data-driven decisions, enhance efficiency, and remain competitive in a dynamic industry.

What are the key skills and qualifications needed to thrive as an airlines data scientist?

To thrive as an Airlines Data Scientist, you need strong analytical skills, a background in statistics or computer science, and experience with data modeling and analysis, often supported by a relevant degree. Proficiency with tools like Python, R, SQL, and specialized airline data platforms, along with certifications in data science or analytics, is typically required. Excellent problem-solving, communication, and teamwork skills help you translate complex data insights into actionable strategies for diverse airline stakeholders. These skills are crucial for optimizing operations, improving customer experience, and driving data-driven decision-making in a highly competitive industry.

How do airlines data scientists typically collaborate with other departments to improve operations or customer experience?

Airlines data scientists regularly work alongside departments such as revenue management, operations, marketing, and customer service to tackle complex business challenges. For example, they may partner with operations teams to optimize flight schedules or help marketing teams personalize promotions based on passenger data. This cross-functional collaboration usually involves translating data insights into actionable strategies, requiring strong communication skills and an understanding of airline-specific metrics. Such teamwork ensures that data-driven solutions are practical, scalable, and aligned with organizational goals.

What is the difference between Airlines Data Science vs Airlines Data Analysis?

AspectAirlines Data ScienceAirlines Data Analysis
Required CredentialsDegree in Data Science, Statistics, or related field; programming skillsDegree in Data Analysis, Business, or related field; analytical skills
Work EnvironmentDeveloping models, algorithms, predictive analyticsInterpreting data, generating reports, supporting decision-making
Employer & Industry UsageUsed in predictive modeling, machine learning projects within airlinesUsed for reporting, trend analysis, and operational insights in airlines

Airlines Data Science focuses on building models and algorithms to predict and optimize airline operations, requiring advanced technical skills. Airlines Data Analysis involves examining data to generate reports and insights to support business decisions. Both roles are essential in the airline industry but differ in technical complexity and scope.

What cities in Texas are hiring for Airlines Data Science jobs?

Cities in Texas with the most Airlines Data Science job openings:

Infographic showing various Airlines Data Science job openings in Texas as of August 2026, with employment types broken down into 17% Internship, 66% Full Time, and 17% Temporary. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Data Scientist/Sr Data Scientist, IT Operations Research and Advanced Analytics

American Airlines

Fort Worth, TX • On-site

Full-time

Medical, Dental, Vision, Retirement

This job post has expired today. Applications are no longer accepted.


American Airlines rating

8.0

Company rating: 8.0 out of 10

Based on 373 frontline employees who took The Breakroom Quiz

6th of 26 rated airlines


Job description

8/21/26
Location: DFW Headquarters Building 8 (DFW-SV08)
Cities: Fort Worth - TX
Requisition ID: 87679
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
This job is a member of the Operations Research and Advanced Analytics (OR&AA) team. Positioned within the Information Technology organization, the OR&AA team at American Airlines has a long history of being on the leading edge of analytics in the airline domain. Nearly four decades ago we launched the revenue management revolution with our yield management strategy. Today our diverse team of passionate analytics professionals supports decision making across the airline, including pricing and revenue management, fleet and network optimization, crew and flight scheduling, airport and maintenance operations and customer/social media analytics. We are constantly on the lookout to bring together exciting technologies, like the latest in cloud technology, with cutting-edge analytical methods, such as deep learning, computer vision, and natural language processing, to create a competitive edge for American.
What you'll do
As part of the OR&AA team, you will deliver data and analytics driven projects from beginning to end, by:
  • Collaborative problem-solving: partner with cross-functional teams and other analytics professionals to identify high-impact business opportunities and frame analytical problems that align with organizational goals.
  • Advanced modeling: develop, validate, and deploy models to solve complex business problems. Techniques include building predictive or classification models by employing statistical models, machine learning, deep learning, NLP, GenAI, LLMs, etc.
  • Data acquisition and preparation: obtain, clean, and transform structured and unstructured data from diverse sources to ensure robust data pipelines. Perform exploratory data analysis to uncover insights.
  • Deployment and maintenance: deploy models as proofs of concept and collaborate with IT engineers to integrate models into production environments. Monitor and maintain deployed models to ensure continued effectiveness.
  • Data visualization and reporting: create compelling dashboards and reports to communicate findings to stakeholder, translating data insights into actionable business recommendations.
  • Thought leadership and advocacy: promote data-driven decision-making across the organization by leading workshops, developing tutorials, and sharing best practices in data science.

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)
  • Practical experience with data extraction, cleaning, and analysis
  • Deep knowledge of statistical and machine learning techniques

Preferred Qualifications- Education & Prior Job Experience
  • Practical experience in designing, building and deploying machine learning models.
  • Expertise in working with cloud environments (e.g., Azure ML, Databricks) and managing production deployments.
  • Hands-on experience with machine learning, deep learning, natural language processing (NLP), GenAI, recommender systems, experimentation (e.g., A/B testing).
  • Proficiency in SQL and data visualization (e.g., Tableau, Power BI).
  • Prior experience in consulting roles, demonstrating the ability to manage client relationships and deliver data-driven solutions.
  • Domain knowledge in the airline industry or related fields is highly desirable.

Skills, Licenses & Certifications
  • Demonstrated aptitude for logical analysis, problem identification, and problem solving
  • Ability to view data from different angles to employ feature engineering techniques to better represent models
  • Excellent interpersonal and communication skills with technical and non-technical audiences
  • Ability to work on a diverse team or with a diverse range of coworkers

What you'll get
Feel free to take advantage of all that American Airlines has to offer:
• Travel Perks: Ready to explore the world? You, your family and your friends can reach 365 destinations on more than 6,800 daily flights across our global network.
• Health 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.
• 401(k) Program: Available upon hire and, depending on the workgroup, employer contributions to your 401(k) program are available after one year.
• Additional Benefits: Other great benefits include our Employee Assistance Program, pet insurance and discounts on hotels, cars, cruises and more
Feel free to be yourself at American
From the team members we hire to the customers we serve, inclusion and diversity are the foundation of the dynamic workforce at American Airlines. Our 20+ Team Member Business Resource Groups are focused on connecting our team members to our customers, suppliers, communities and shareholders, helping team members reach their full potential and creating an inclusive work environment to meet and exceed the needs of our diverse world.
Are you ready to feel a tremendous sense of pride and satisfaction as you do your part to keep the largest airline in the world running smoothly as we care for people on life's journey? Feel free to be yourself at American.

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