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Airlines Data Science Jobs (NOW HIRING)

DEUNA

Data Science intern

San Francisco, CA · On-site

S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

DEUNA

Data Science intern

San Francisco, CA

S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape ... Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.

Atlas Air

Staff Data Scientist

Erlanger, KY · On-site

... airline operations. * Lead complex data science projects from conception to implementation, working with various stakeholders (e.g., global control center, pilots, sales, etc.) to define objectives ...

United Airlines

Data Scientist

Manhattan, NY

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 ...

United Airlines

Data Scientist

Atlanta, GA

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field. * 8+ years of experience in Data Science, Machine Learning ...

New

Cresta

Data Science Intern (Customer Success)

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 ...

Alaska Airlines

Manager, AI

Seatac, WA

$149K - $224K/yr

Alaska Airlines Guided by our purpose, core values, and leadership principles, we are creating an ... Required * 5 years of experience in AI, machine learning, or data science, with a proven track ...

Alaska Airlines

Manager, AI

Seattle, WA

$149K - $224K/yr

D. in AI, Data Science, Computer Science, Industrial Engineering, Statistics, or a related field ... Total Rewards Alaska Airlines, Hawaiian Airlines and Horizon Air pay and benefits can vary by ...

Trax USA Corp

Data Scientist - Airvoyant

Miami, FL · On-site

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 ...

United Airlines

AWS Data Scientist

Atlanta, GA

$85K - $105K/yr

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 ...

United Airlines

AWS Data Scientist

Atlanta, GA

$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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All JobsAirlines Data Science Jobs

Airlines Data Science information

See salary details

$46K

$165K

$243.5K

How much do airlines data science jobs pay per year?

As of Jul 29, 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:
What job categories do people searching Airlines Data Science jobs look for? The top searched job categories for Airlines Data Science jobs are:
Airlines Data Science jobs near you
Infographic showing various Airlines Data Science job openings in the United States as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Contract, and 1% Summer. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Science intern

DEUNA

San Francisco, CA • On-site

Temporary

Re-posted yesterday

Job description

About DEUNA
DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!
Visit https://www.deuna.com/ to learn more about us!
We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.
This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.
Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications
Required
  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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