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Airlines Data Science Jobs (NOW HIRING)

Tetra Tech

Senior Data Scientist

Washington, DC · On-site

... airline, weather and other related data, which consumes the majority of the project's time • ... Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field Preferred ...

Keka Technologies Private Limited

WI · On-site

$150 - $210/hr

This role combines AI leadership, software engineering, data science, and airline cargo domain expertise to deliver innovative products that improve airline revenue, capacity utilization, and ...

Alaska Airlines

Manager, AI

Seatac, WA · On-site

$149K - $224K/yr

Company Alaska Airlines The Team Guided by our purpose, core values, and leadership principles, we ... D. in AI, Data Science, Computer Science, Industrial Engineering, Statistics, or a related field.

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Airlines Data Science information

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$46K

$165K

$243.5K

How much do airlines data science jobs pay per year?

As of Aug 23, 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 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.

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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 August 2026, with employment types broken down into 5% Internship, 70% Full Time, 5% Temporary, and 20% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Data Scientist

Tetra Tech

Washington, DC • On-site

Full-time

Re-posted 5 days ago

Tetra Tech rating

6.4

Company rating: 6.4 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

403rd of 449 rated engineering

Job description

Job Summary:
Tetra Tech AMT is seeking a Senior Data Scientist to support a new FAA project focused on pre-departure planning and analytics. The role involves collaborating with aviation stakeholders, utilizing advanced statistics and machine learning to predict flight outcomes, and optimizing air traffic management processes.
Responsibilities:
• Establish a process for strategic deconfliction in collaboration with internal and external aviation stakeholders for a new FAA Traffic Flow Management Evolution Program for a potential “24/7” operation
• Use advanced statistics, modeling, and machine learning to predict outcomes and solve complex problems related to anticipating flight delays, flight cancellations, scheduling conflicts, and other aircraft/flight disruptions
• Support tasks that bridge the gap between complex mathematics and business strategy related to how an air traffic management (ATM) system would translate to lower fuel burden, less aircraft downtime, shorter block times, and faster flights
• Work 40 hours a week but potentially work late night shifts and weekends at times to cover overnight and weekend data modeling needs
• Document the FAA process, roles, and responsibilities to enable execution of strategic deconfliction process plan for day of operations in the National Airspace System (NAS)
• Work with FAA and industry vendor(s) who will architect and build the analytical data model and provide feedback as necessary
• Collaborate with FAA stakeholders and external industry partners (as needed) to obtain necessary data to operate logistically optimized model
• Enter data into analytical models (long range and same day planning) to develop strategic deconfliction plans
• As needed, support the training of FAA staff on process execution related to newly designed traffic flow management program
• Document all lessons learned and FAA process improvement opportunities for evolution of strategic deconfliction processes/capability
• Apply knowledge in the domain of engineering and operations research to optimize NAS strategic deconfliction plan
• Define post event analysis criteria and data expectations
• Document recommended process improvement opportunities
• Provide expertise in the design, development, implementation, and analysis of technical FAA products and systems
Qualifications:
Required:
• Have a deep background in air traffic management and airport operations including FAA traffic flow management practices
• Possess broad knowledge of systems engineering and implementation, providing technical expertise in the application of state-of-the-art technology to meet FAA mission and aerospace requirements
• The ability to move beyond off-the-shelf algorithms by understanding their underlying assumptions and limitations
• The ability to train predictive models and scale them using cloud ecosystems
• The patience to clean, process, and extract structure from 'messy' aviation, FAA, airline, weather and other related data, which consumes the majority of the project's time
• Flexible work schedule that may require working at FAA in-person and cover nights, weekends and even some holidays during the year as this is in support of a national and highly visible FAA project
• Potentially be on call to cover shifts when anticipated higher days of operations or team members are unavailable/on scheduled vacation
• Must have at least 20 years of professional years of experience supporting projects as a data scientist but preferably in support of the FAA/NASA or at least the federal government
• Must have a Master’s Degree in technical area (e.g. Computer Science, Mathematics, Statistics, Data Science or Engineering) or related field
Preferred:
• Doctor of Philosophy (Ph.D.) is preferred
Company:
Tetra Tech provides innovative solutions focused on water, the environment and energy for the government and commercial clients. Founded in 1966, the company is headquartered in Pasadena, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Tetra Tech

Sourced by ZipRecruiter

Tetra Tech combines the resources of a global, multibillion-dollar company with local, client-focused delivery in more than 450 locations around the world. Our reputation rests on the technical expertise and dedication of our employees-21,000 associates working together to provide smart, scalable solutions for challenging projects. We are proud to be home to leading technical experts in water, environment, infrastructure, resource management, energy, and international development.

Industry

Civil engineering construction and environmental consulting services

Company size

10,000+ Employees

Headquarters location

Pasadena, CA, US

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