Staff Data Scientist (AI & ML)

Since launching in Kuwait in 2004, the company has become the leading on-demand food and Q-commerce app for everyday deliveries, serving customers across eight countries in the region. With a mission to optimize operations for restaurants and local shops while providing riders with reliable earning opportunities, the company is focused on leveraging innovative technology to simplify everyday life.

As a Staff Data Scientist (AI & ML) within the global AI hub, you will design, build, and deploy machine learning and generative AI systems that underpin decision-making across product and business. You will work closely with product and business managers as part of a dynamic team of data scientists and machine learning engineers, owning a specific domain end-to-end.

Responsibilities:

• Frame ambiguous business challenges as well-defined machine learning and data science problems.
• Provide impactful insights and data-driven recommendations through comprehensive analysis.
• Design, build, and deploy end-to-end machine learning and generative AI systems.
• Develop robust ML-based systems and maintain reliable ML models in production.
• Leverage LLMs and generative AI for data enrichment and automated decision-making.
• Partner with product and business teams to identify and translate high-impact opportunities into ML solutions.
• Mentor other data scientists while promoting ML best practices.

Qualifications:

• Technical Experience:

  • Deep expertise in machine learning, generative AI, deep learning, NLP, and data mining.
  • Proficiency with ML frameworks like Scikit-learn, TensorFlow, and PyTorch.
  • Strong software engineering skills and experience in building and monitoring ML models.
  • Excellent SQL and programming skills in Python.

• General Experience:

  • Bachelor's degree in engineering, computer science, or related fields (postgraduate degree is a plus).
  • 7+ years of experience in data science, machine learning engineering, or generative AI.
  • Excellent collaboration and communication skills, with ownership and accountability in work.