Manager Data Science | Revenue Management at Qatar Airways

Doha, , Qatar -

Full Time

Start Date

Immediate

Expiry Date

15 Jul, 26

Salary

0.0

Posted On

16 Apr, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Revenue Management, Machine Learning, Predictive Modeling, Statistical Analysis, Python, R, SQL, Data Engineering, Demand Forecasting, Pricing Algorithms, Leadership, Communication, Negotiation, Operations Research, AI Methodologies

Industry

Airlines and Aviation

Description

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.

Responsibilities

Lead a team of data scientists to develop predictive models, pricing algorithms, and demand forecasting tools to optimize revenue performance. Collaborate with cross-functional stakeholders to deploy AI and machine learning solutions that drive strategic business growth.