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Airlines Data Science Jobs (NOW HIRING)

Positioned at the intersection of data science, GenAI, and product thinking, you will work directly with product and delivery teams to surface nonobvious opportunities, establish a clear point of ...

The world's leading companies, including United Airlines, Cox Communications, and Marriott, use ... We are looking for a motivated Data Science Intern to join our team. This role offers hands-on ...

Minimum 8+ years of experience in Data Science, AI, or Machine Learning * Strong hands-on expertise in AI & ML , including supervised and unsupervised learning, NLP, or deep learning * Advanced ...

Our customers include airlines, MROs, and aviation vendors seeking more efficient, intelligent, and ... Master's degree strongly preferred * 5-7+ years of experience in data science, advanced analytics ...

Senior Engineer, IT Data

Fort Worth, TX

$101K - $138K/yr

Join our American Airlines family, and you'll travel the world, grow your expertise and become the ... The Data domain leans into Machine Learning and AI, as well as Data Science and Business ...

Minimum 10+ years of experience in Data Science, AI, or Machine Learning * Strong hands-on expertise in AI & ML , including supervised and unsupervised learning, NLP, or deep learning * Advanced ...

Senior Engineer, IT Data

Fort Worth, TX · On-site

$101K - $137K/yr

Join our American Airlines family, and you'll travel the world, grow your expertise and become the ... The Data domain leans into Machine Learning and AI, as well as Data Science and Business ...

Minimum 8+ years of experience in Data Science, AI, or Machine Learning * Strong hands-on expertise in AI & ML , including supervised and unsupervised learning, NLP, or deep learning * Advanced ...

AWS Data Scientist

Atlanta, GA · On-site

$80K - $90K/yr

Minimum 8+ years of experience in Data Science, AI, or Machine Learning * Strong hands-on expertise in AI & ML , including supervised and unsupervised learning, NLP, or deep learning * Advanced ...

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Airlines Data Science information

See salary details

$46K

$165K

$243.5K

How much do airlines data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for airlines data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

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 are Airlines Data Scientists?

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, and why are they important?

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 data scientists in the airline industry 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.
More about Airlines Data Science jobs
What cities are hiring for Airlines Data Science jobs? Cities with the most Airlines Data Science job openings:
What states have the most Airlines Data Science jobs? States with the most job openings for Airlines Data Science jobs include:
Infographic showing various Airlines Data Science job openings in the United States as of May 2026, with employment types broken down into 5% Internship, 69% Full Time, 5% Part Time, and 21% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist - Machine Learning

Data Scientist - Machine Learning

United Airlines, Inc.

Chicago, IL • On-site

Full-time

Posted 20 days ago


United Airlines rating

7.8

Company rating: 7.8 out of 10

Based on 331 frontline employees who took The Breakroom Quiz

9th of 26 rated airlines


Job description

Description
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.
Job overview and responsibilities:
Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions
  • Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using machine learning, statistical, and structured programming languages
  • Identifies, researches, or solves large complex problems using big data and machine learning principles
  • Leverages understanding of the business process to identify and implement predictive and prescriptive solutions that will result in significant bottom-line contributions
  • Builds and develops machine learning model applications, and provides client support leveraging machine learning knowledge
  • Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups
  • Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available
  • Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for)
  • Anticipates working team questions to data and approach
  • Identifies solution quality risks and on-time risks
  • Understands the business value, process, and expectations before focusing on choice of a technical solution
  • Understands the intuition behind the numbers (i.e. does it make sense?)
  • Provides on-going analytical services to client organizations
  • Communicates results to management and clients
  • Contributes deck content and builds the story for the deck with guidance to summarize findings
  • Develops and delivers presentations aligned with Analytics & Innovation team standards
  • Speaks in a manner appropriate for working team and their level +1
  • Keeps informed about the latest analytical methods and research in machine learning, data science, and other analytics fields
  • Research and socialize tools and techniques in data science, ensuring best practices are applied at United

Qualifications
What's needed to succeed (Minimum Qualifications):
  • Master's degree in quantitative field (machine learning, data science, statistics, engineering, etc.)
  • Coursework or work experience with mathematical programming techniques
  • Coursework or work experience implementing supervised machine learning to real-world tabular data use cases
  • Hands-on experience with ML and statistical modeling in applied projects
  • Strong Python software engineering skills with a focus on object-oriented programming and GitHub usage
  • Proficiency in SQL for analytical tasks and data manipulation
  • Ability to identify high-value opportunities and efficiently apply data science techniques to drive business impact
  • Strong ownership mindset, with the ability to work independently and collaborate across teams, including with SMEs and stakeholders, without direct supervision
  • Demonstrated intellectual curiosity, with a proactive approach to solving complex problems and a willingness to navigate ambiguity
  • Excellent oral and written communication skills, with the ability to clearly explain algorithms, modeling techniques, and data-driven insights to diverse audiences
  • Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment
  • Good interpersonal skills and ability to interact with clients
  • Proficient with MS Office
  • Must be legally authorized to work in the United States for any employer without sponsorship
  • Successful completion of interview required to meet job qualifications
  • Reliable, punctual attendance is an essential function of the position

What will help you propel from the pack (Preferred Qualifications):
  • Supervised computer vision (object detection) & NLP
  • Signal processing & machine learning applied to sensor data
  • Causal ML (DML, DR, etc.)
  • Probabilistic programming (Pyro, PyMC, Stan, etc.) and Bayesian modeling
  • AWS cloud stack experience
  • PySpark
  • Docker
  • Generative AI
  • Demonstrated ability to create business value

What United Airlines employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


United Airlines logo

About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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