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Manager Data Science | Revenue Management
full-timeDoha

Summary

Location

Doha

Type

full-time

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About this role

About the role

Welcome to a world where ambition propels success!

We are pleased to announce an exciting opportunity to be part of our Revenue Management Team as a Manager Data Science in Doha

In this role, you will play a significant part in leading a team of skilled data scientists, developing advanced analytical models, and ensuring the effective utilization of data-driven insights to enhance our revenue management practices. You will harness the power of data to drive strategic decisions and optimize revenue performance.

You will collaborate closely with various stakeholders, including commercial, pricing, finance, and operations teams, to identify opportunities for revenue growth and implement data-driven solutions that align with our overall business objectives.

Specific responsibilities include:

  • Responsible in shaping our data science strategy, staying abreast of industry trends, and continuously improving our analytical capabilities
  • Develop predictive models, pricing algorithms, and demand forecasting tools that will enable RM Managers to make informed decisions and stay competitive in the dynamic airline industry.
  • Collaborate with business and technology partners across various departments to deploy AI & ML-powered solutions, aiming to drive incremental revenue, enhance customer engagement, and automate manual processes using state-of-the-art ML techniques
  • Collaborate with cross-functional teams to define problem statements, hypotheses, and success metric  
  • Utilize advanced analytical techniques (e.g., machine learning, statistical modelling) to analyze complex datasets, identify trends, and develop predictive models.
  • Work with data engineering teams to deploy and maintain data science models in a production environment ,ensuring their accuracy and effectiveness.
  • Manage data science projects ,fostering relationships with stakeholders, and ensure the effective deployment of AI and machine learning models.
  • Oversee the design, development and deployment of data science projects, ensuring they align with business objectives and timelines
  • Build and maintain strong relationships with stakeholders across different departments(e.g. Corporate Planning,B2C,IT,Finance) to understand their needs and ensure the effective integration of data-driven solutions.
  • Coach and mentor team members for their development and successful project delivery
  • Lead and manage a team of Data Scientists to deliver high-quality, production-scale ML models with measurable business impact across multiple business/product verticals.

Be part of an extraordinary story

Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community.

Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before.

Together, everything is possible.



About you

The successful candidate will have the following skills and qualifications:

  • Bachelor’s degree or equivalent ( Example: Mathematics and Statistics, Computer Science or Engineering or any related field) with minimum of 8 years job -related experience.
  • Expertise in statistical analysis, machine learning, data engineering, operations research, forecasting and optimization methods
  • Strong background in statistical analysis, optimization techniques, and predictive modeling. Well-versed in AI and ML methodologies.
  • Experience in handling large datasets, using data mining tools, and developing algorithms is preferred.
  • Excellent programming skills in languages such as Python, R, or SQL.
  • Good understanding of Airline business process, including Network planning, scheduling, Marketing, Sales, Digital (Customer behavior)
  • Excellent leadership skills, communication and negotiation skills.
  • Strong communication skills to effectively convey complex analytical concepts to non-technical stakeholders
  • Ability to work collaboratively with cross-functional teams.
  • Strong command of English language

About Qatar Airways Group       

Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before.

So, whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.

Other facts

Tech stack
Data Science,Machine Learning,Statistical Analysis,Predictive Modeling,Data Engineering,Operations Research,Forecasting,Optimization,Programming,Python,R,SQL,Airline Business Process,Leadership,Communication,Collaboration

About Qatar Airways

Qatar Airways is the national airline of the State of Qatar. Based in Doha, the Airline’s trendsetting on-board product focuses on: comfort, fine cuisine, the latest in-flight audio & video entertainment, award-winning service and one of the youngest and most advanced aircraft fleet in the sky.

Awards by industry audit Skytrax:

  • Airline of the Year (2011, 2012, 2015, 2017, 2019, 2021, 2022, 2024, 2025)
  • World's Best Business Class (2010, 2013, 2014, 2016, 2017, 2018, 2019, 2021, 2022, 2023, 2024, 2025)
  • World’s Best Business Class Airline Lounge (2013, 2014, 2016, 2017, 2021, 2023, 2024, 2025)
  • Best Airline in the Middle East (2011, 2012, 2013, 2014, 2015, 2017, 2018, 2019, 2021, 2022, 2023, 2024, 2025)

Connecting through its Doha hub, Qatar Airways serves more than 170 key business and leisure destinations worldwide, with a fleet of over 200 aircraft. The airline flies to Australia, Asia, Europe, Middle East, Africa, North America, and South America.

Qatar Airways is looking for the very best candidates to help support the Airline's incredible growth. Visit http://bit.ly/QRvacancies to land a great career.

Please visit www.qatarairways.com/support if you require a response to a formal complaint.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Airlines and Aviation
Founding Year: 1993

What you'll do

  • The Manager Data Science will lead a team of data scientists to develop advanced analytical models and drive strategic decisions to optimize revenue performance. Responsibilities include shaping data science strategy, developing predictive models, and collaborating with cross-functional teams to implement data-driven solutions.

Ready to join Qatar Airways?

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Frequently Asked Questions

What does a Manager Data Science | Revenue Management do at Qatar Airways?

As a Manager Data Science | Revenue Management at Qatar Airways, you will: the Manager Data Science will lead a team of data scientists to develop advanced analytical models and drive strategic decisions to optimize revenue performance. Responsibilities include shaping data science strategy, developing predictive models, and collaborating with cross-functional teams to implement data-driven solutions..

Why join Qatar Airways as a Manager Data Science | Revenue Management?

Qatar Airways is a leading Airlines and Aviation company.

Is the Manager Data Science | Revenue Management position at Qatar Airways remote?

The Manager Data Science | Revenue Management position at Qatar Airways is based in Doha, Qatar. Contact the company through Clera for specific work arrangement details.

How do I apply for the Manager Data Science | Revenue Management position at Qatar Airways?

You can apply for the Manager Data Science | Revenue Management position at Qatar Airways directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Qatar Airways on their website.