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Qatar Airways

Data Scientist

Qatar Airways
Qatar · Full-time · Entry

About Your Job

In this role, as Data Scientist, you will play a critical role in helping to extract valuable insights from vast data sets and use those insights to make informed business decisions. You will be responsible for designing and implementing data mining algorithms, developing predictive models, and communicating your findings to both technical and non-technical audiences. You will leverage your expertise to develop and deploy cutting-edge natural language processing and generative models to drive innovation and solve complex business challenges.

Key Responsibilities

  • Analyse data to identify patterns, trends, insights and opportunities for business improvements.
  • Design and implement data mining algorithms and predictive models.
  • Develop and implement advanced natural language processing models using large language models.
  • Utilize generative AI techniques to create innovative solutions and generate synthetic data where applicable.
  • Develop and implement generative AI models for a variety of applications, including text generation, translation, and creative content creation
  • Implement analytical models in production by collaborating with data engineers and machine-learning engineers.
  • Evaluate model performance, iterate on improvements, and integrate feedback to enhance data generation capabilities.
  • Collaborate with engineers to integrate AI models into production systems.
  • Communicate technical concepts and findings effectively to both technical and non-technical stakeholders.
  • Collaborate with cross-functional teams to integrate data science solutions into business processes.

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

Job Posting

Feb 18, 2025, 4:12:20 PM

Experience & Knowledge

  • Master's or Ph.D. in Computer Science, Data Science, or related field.
  • 6+ years of job-related experience.
  • In-depth understanding of machine learning algorithms and modelling (e.g., semi-supervised or weakly supervised learning, generative models, transfer learning, optimization, large language models, etc.)
  • Strong experience with generative AI models desired .
  • Experience with deep learning frameworks such as TensorFlow and PyTorch and python programming skills.
  • Experience in Vertex AI
  • Experience with cloud computing platforms such as AWS or GCP
  • Passionate for data science and AI, and a desire to stay up to date with the latest trends and developments in the field, such as Generative AI.
  • Excellent communication and presentation skills

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

Key Skills

Ranked by relevance

ai natural language processing data mining machine learning deep learning tensorflow pytorch python cloud aws gcp
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Posted
Feb 18, 2025
Type
Full-time
Level
Entry
Location
Doha

Industries

Airlines Aviation

Categories

Engineering Information Technology

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