Senior Data Scientist

চাকরির বিবরণ

talabat is looking for a Senior Data Scientist (AI & ML) on the global AI hub in Dubai. You will design, build and ship machine learning and generative AI systems, own a domain end to end and the full ML lifecycle from problem framing and feature engineering to training, deployment, serving and monitoring in production.

দায়িত্ব

• Framing ambiguous business problems as well-defined machine learning and data science problems, with clear, objective success criteria.
• Providing high-quality, impactful insights and data-driven recommendations through rigorous analysis and automated reporting to drive strategic organizational choices.
• Designing, building, and shipping end-to-end machine learning and generative AI systems in production — spanning data pipelines, feature engineering, model training, serving, and monitoring.
• Taking on engineering-heavy work end to end: architecting robust ML-based systems, writing clean and scalable production code, and training, deploying, and maintaining reliable ML models that solve real business problems at scale.
• Training, evaluating, and iterating on models — selecting the simplest, most appropriate algorithms and architectures to deliver measurable business value.
• Leveraging LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making within production systems.
• Building and maintaining the data models, features, and pipelines that power model training and allow us to measure performance and its drivers for your area of focus.
• Designing, planning, and analyzing experiments (A/B and multivariate tests) to rigorously measure model and product impact.
• Developing deep familiarity with source data and its generating systems through documentation, collaboration with engineering teams, and systematic data profiling.
• Partnering with product and business teams to identify high-impact opportunities and translate them into ML solutions and actionable, data-driven recommendations.
• Mentoring other data scientists in their growth journeys.
• Elevating engineering and ML best practices — improving our ways of working, tooling, MLOps, and internal training programs.

যোগ্যতা

• Deep expertise in machine learning, generative AI, deep learning, recommendation systems, NLP, pattern recognition, data mining.
• Deep hands-on knowledge of ML and GenAI frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Transformers, LLM fine-tuning).
• Strong software engineering fundamentals: excellent coding skills, a solid grasp of data structures and algorithms, and proven ability in both general system design and ML system design.
• Proven experience building, deploying, serving, and monitoring ML models in production, with a strong grasp of MLOps practices.
• Strong data and ML engineering skills, including building and orchestrating data and training pipelines (e.g. via Airflow) and robust feature engineering.
• Excellent SQL and competence with reproducible analysis and modeling in Python.
• Solid statistical foundations, including experiment design and analysis (A/B and multivariate) and inferential, causal, and predictive methods.
• Familiarity with data modeling and dimensional design.
• Strong command over the entire ML lifecycle, from problem formulation and data auditing through modeling, deployment, interpretation, and presentation.
• Familiarity with product data (impressions, events, etc.) and product health measurement (conversion, engagement, retention, etc.).
• Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
• Familiarity with BigQuery and the Google Cloud Platform is a plus.

দক্ষতা

• A/B Testing
• Generative AI
• Machine Learning
• MLOps
• Python
• SQL