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Airlines Data Science Jobs in Georgia (NOW HIRING)

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 ...

While Fetcherr initially focused on the airline industry, the company is now expanding into ... Coordinate with internal teams (Product, Program, Tech, Support, and Data Science) to ensure ...

While Fetcherr initially focused on the airline industry, the company is now expanding into ... Coordinate with internal teams (Product, Program, Tech, Support, and Data Science) to ensure ...

Gen AI Architect

Atlanta, GA · On-site

$150K/yr

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field. * 12+ years of overall IT experience with a strong background in Data ...

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Airlines Data Science information

See Georgia salary details

$38.8K

$139.3K

$205.6K

How much do airlines data science jobs pay per year?

As of Aug 23, 2026, the average yearly pay for airlines data science in Georgia is $139,338.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $143,500.00 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 are popular job titles related to Airlines Data Science jobs in Georgia?

For Airlines Data Science jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Airlines Data Science jobs in Georgia look for?

The top searched job categories for Airlines Data Science jobs in Georgia are:

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

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

Infographic showing various Airlines Data Science job openings in Georgia as of August 2026, with employment types broken down into 7% Internship, 60% Full Time, and 33% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $139,338 per year, or $67 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


United Airlines rating

7.9

Company rating: 7.9 out of 10

Based on 342 frontline employees who took The Breakroom Quiz

7th of 26 rated airlines


Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Location : Cary, NC (Onsite/Hybrid from Day 1)
Job Description

We are seeking an experienced Data Scientist to join our growing Analytics and AI team. This role is responsible for developing and deploying advanced Machine Learning, Artificial Intelligence, and Generative AI solutions that drive customer engagement, marketing effectiveness, revenue growth, and business outcomes. The ideal candidate will have a strong blend of technical expertise, business acumen, and stakeholder management experience, particularly within the insurance and/or financial services industry.

Key Responsibilities
  • Own technical decisions, project outcomes, timelines, and production stability within assigned business domains.
  • Design, develop, train, and optimize machine learning and deep learning models for marketing, customer engagement, sales, and business analytics use cases.
  • Analyze complex datasets to identify trends, patterns, anomalies, and actionable insights that support business strategy and decision-making.
  • Develop statistical models, predictive analytics, and machine learning algorithms using Python and Azure cloud technologies.
  • Build, deploy, and support production-ready ML and GenAI solutions, including API-based, batch, and real-time inference applications.
  • Collaborate with business stakeholders, product teams, and cross-functional partners to identify opportunities and implement data-driven solutions.
  • Integrate AI and ML capabilities into business applications and workflows through APIs, SDKs, and microservices.
  • Create compelling visualizations, dashboards, reports, and presentations to communicate analytical findings and recommendations to senior leadership and business partners.
  • Apply MLOps best practices to ensure scalability, reliability, performance monitoring, and operational excellence of AI/ML solutions.
  • Optimize platform components leveraging cloud-native architectures, distributed computing, and efficient resource management practices.
  • Stay current with emerging trends, technologies, and best practices in Artificial Intelligence, Data Science, Machine Learning, and Generative AI.
  • Promote responsible AI practices, including data privacy, model governance, bias mitigation, and model monitoring.
Required Qualifications
  • 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, Artificial Intelligence, and/or AI/ML Engineering.
  • 5+ years of experience in the Insurance and/or Financial Services industry with exposure to sales, marketing, customer engagement, or customer analytics.
  • Proven experience designing, deploying, and operating production Machine Learning and/or Generative AI solutions, including APIs, batch processing, and real-time inference.
  • Strong experience developing Machine Learning models using Python, preferably in cloud environments.
  • Experience with Azure Machine Learning, Domino Data Lab, Power BI, or similar analytics and ML platforms.
  • Strong SQL skills and hands-on experience with data analysis, anomaly detection, data validation, and Exploratory Data Analysis (EDA).
  • Solid understanding of statistics, mathematics, predictive modeling, machine learning algorithms, and data science methodologies.
  • Experience leveraging AI and predictive analytics to improve customer experience, communication strategies, revenue generation, marketing effectiveness, and other business outcomes.
  • Familiarity with responsible AI principles, including data privacy, bias mitigation, model explainability, governance, and monitoring.
  • Excellent written and verbal communication skills, including the ability to present insights effectively through storytelling, visualizations, and executive-level presentations.
Preferred Qualifications
  • Experience with Generative AI, Large Language Models (LLMs), and modern AI frameworks.
  • Experience implementing MLOps and model lifecycle management practices in cloud environments.
  • Knowledge of cloud-native architectures and scalable AI/ML deployment patterns.
  • Experience working within highly regulated environments such as Insurance or Financial Services.

The base compensation range for this role in the posted location is: 85786- 97273

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


What United Airlines employees say

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Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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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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