Senior Data Scientist
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Key skills for this role
About the Role
talabat is seeking a Senior Data Scientist to ship AI and ML systems that power the region's leading on-demand delivery app. You will own end-to-end ML projects from problem framing to production monitoring, leveraging generative AI and LLMs.
Key Skills for This Role
Responsibilities
- Frame ambiguous business problems as well defined ML problems with clear success criteria
- Design, build, and ship end to end ML and generative AI systems in production
- Architect robust ML based systems; write clean, scalable production code
- Leverage LLMs and generative AI for data enrichment, content understanding, and automated decision making
- Design and analyse experiments rigorously (A/B and multivariate tests)
- Develop deep familiarity with source data and its generating systems
- Provide high quality insights and data driven recommendations to drive strategic organisational choices
- Mentor other data scientists and elevate engineering and ML best practices
Requirements
- 3+ years shipping production ML systems (generative AI, recommendation engines, or ML infrastructure)
- Strong software engineering fundamentals: clean code, data structures, system design
- Hands on with the ML lifecycle: problem formulation, data auditing, modelling, deployment, interpretation, presentation
- Proficiency in Python and SQL
- Experience building data and training pipelines (Airflow or equivalent)
- Production ML systems experience: building, deploying, serving, monitoring
- Familiarity with product data (events, impressions, conversions, engagement, retention)
- Experience with LLMs and NLP based solutions is a plus
- BigQuery or equivalent cloud data warehouse experience is a plus
Full Job Posting
Company Description
- talabat is the region's leading on demand delivery app, serving millions across eight countries.
- The Quick Commerce (QC) Hub powers grocery and convenience delivery.
- The QC data team works at scale with millions of daily transactions.
- Mission: ship AI and ML systems that power talabat's intelligence.
Responsibilities
- Frame ambiguous business problems as well defined ML problems with clear success criteria.
- Design, build, and ship end to end ML and generative AI systems in production.
- Architect robust ML based systems; write clean, scalable production code.
- Leverage LLMs and generative AI for data enrichment, content understanding, and automated decision making.
- Design and analyse experiments rigorously (A/B and multivariate tests).
- Develop deep familiarity with source data and its generating systems.
- Provide high quality insights and data driven recommendations.
- Mentor other data scientists and elevate engineering and ML best practices.
What we're looking for
- 3+ years shipping production ML systems (generative AI, recommendation engines, or ML infrastructure).
- Strong software engineering fundamentals: clean code, data structures, system design.
- Hands on with the ML lifecycle: problem formulation, data auditing, modelling, deployment, interpretation, presentation.
- Proficiency in Python and SQL.
- Experience building data and training pipelines (Airflow or equivalent).
- Production ML systems experience: building, deploying, serving, monitoring.
- Familiarity with product data (events, impressions, conversions, engagement, retention).
- Experience with LLMs and NLP based solutions is a plus.
- BigQuery or equivalent cloud data warehouse experience is a plus.
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