Sr. Data Scientist, GenAI Algorithms (Based in Dubai)

Talabat General Trading and Contracting Company; City of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading food technology firm is seeking a Sr. Data Scientist to drive decision-making and enhance operations through advanced data analytics and Generative AI. The role involves collaborating with product and business teams, mentoring data scientists, and developing machine learning systems. Candidates should have over 4 years of experience in data science, a strong command of SQL and machine learning frameworks, and excellent collaboration skills.

Qualifications

• 4+ years of experience in data science, machine learning, and Gen AI.
• Experience in an online consumer product setting is a plus.
• Postgraduate degree is a plus but not required.

Responsibilities

• Leverage data to drive business value and solve complex problems.
• Design and implement impactful machine learning systems.
• Deliver actionable insights to support data-driven decision-making.

Skills

Machine learning

Generative AI

Deep learning

Recommendation systems

Data mining

SQL

Python

Data modeling

Education

Bachelor's degree in engineering or computer science

Tools

Scikit-learn

TensorFlow

PyTorch

BigQuery

Google Cloud Platform

Job description

Sr. Data Scientist, GenAI Algorithms (Based in Dubai)

talabat is a leading on-demand food and Q-commerce app operating across eight countries in the region. We use innovative technology to simplify daily life for customers, optimize operations for partners, and provide reliable earning opportunities for riders. We are building a high performance culture with a growing talent density and have been recognized as a multi great place to work.

As a data scientist on the algorithms track, your mission is to improve the quality of decisions across product and business through relevant, reliable, and actionable data. You will own a domain across product and business, work closely with product and business managers, and collaborate with a team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation. Many initiatives will focus on leveraging Generative AI for data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations.

Responsibilities

• Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
• Solving complex business problems using appropriate algorithms to deliver business value.
• Designing and implementing effective and impactful machine learning and generative AI systems in production.
• Developing a deep understanding of the product experiences and business processes in your area of focus.
• Developing familiarity with source data and its generating systems through documentation, collaboration with engineering, and systematic data profiling.
• Contributing to the design and maintenance of data models that measure performance and drivers for your area of focus.
• Working with product and business teams to identify important questions that can be answered effectively with data.
• Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
• Designing, planning, and analyzing experiments (A/B and multivariate tests).
• Supporting product and business managers with KPI design and goal setting.
• Mentoring other data scientists in their growth journeys.
• Contributing to improving ways of working, tooling, and internal training programs.

Qualifications

• Technical Experience: Experience in machine learning, generative AI, deep learning, recommendation systems, pattern recognition, data mining, and artificial intelligence.
• Deep knowledge of ML and GenAI frameworks (e.g., Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch, Hugging Face Transformers, LLM fine-tuning).
• Excellent SQL.
• Competence with reproducible data analysis using Python or R.
• Familiarity with data modeling and dimensional design.
• Strong command over the entire data lifecycle, including problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
• Familiarity with descriptive, exploratory, inferential, causal, and predictive analysis.
• Understanding of experiment design and analysis workflows and related statistical techniques.
• Familiarity with product data (impressions, events) and product health measures (conversion, engagement, retention).
• Experience with LLMs and NLP-based solutions for data enrichment and smart automation is a plus.
• Familiarity with BigQuery and Google Cloud Platform is a plus.
• Data engineering and data pipeline development experience (e.g., via Airflow) is a plus.

• Education and Experience: Bachelor\'s degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
• 4+ years of experience in data science, machine learning, and Gen AI.
• Experience doing data science in an online consumer product setting is a plus.
• A problem-solving mindset with a growth mindset.
• Strong collaboration and communication skills.
• A sense of ownership and accountability.
• A keep-it-simple approach to getting things done.

Employment type

• Full-time

Job function

• Information Technology

Industries

• Software Development and IT Services and IT Consulting

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