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About the Role

As a Sr. Data Scientist (AI & ML) on the global AI hub, your mission will be to design, build, and ship the machine learning and generative AI systems that power decisions across product and business. You will own a particular domain end to end, working closely with product and business managers as part of a talented team of data scientists and machine learning engineers. You will own the full ML lifecycle, from problem framing, data modeling, and feature engineering through model training, deployment, serving, and monitoring in production. Many of our initiatives will focus on leveraging Generative AI and LLMs for tasks such as data enrichment, smart content understanding, and automated decision-making to enhance user experiences and business operations at scale.

Responsibilities

Frame ambiguous business problems as well-defined machine learning and data science problems with clear, objective success criteria.
Provide high-quality, impactful insights and data-driven recommendations through rigorous analysis and automated reporting to drive strategic organizational choices.
Design, build, and ship end-to-end machine learning and generative AI systems in production, spanning data pipelines, feature engineering, model training, serving, and monitoring.
Undertake engineering-heavy work end to end: architect robust ML-based systems, write clean and scalable production code, and train, deploy, and maintain reliable ML models that solve real business problems at scale.
Train, evaluate, and iterate on models, selecting the simplest, most appropriate algorithms and architectures to deliver measurable business value.
Leverage LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making within production systems.
Build and maintain the data models, features, and pipelines that power model training and allow measurement of performance and its drivers for your area of focus.
Design, plan, and analyze experiments (A/B and multivariate tests) to rigorously measure model and product impact.
Develop deep familiarity with source data and its generating systems through documentation, collaboration with engineering teams, and systematic data profiling.
Partner with product and business teams to identify high-impact opportunities and translate them into ML solutions and actionable, data-driven recommendations.
Mentor other data scientists in their growth journeys.
Elevate engineering and ML best practices, improving ways of working, tooling, MLOps, and internal training programs.

Requirements

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.
Bachelor's degree in engineering, computer science, technology, or similar fields.
5+ years of experience across data science, machine learning engineering, and generative AI, including shipping ML models to production.
Experience building ML systems in an online consumer product setting is a plus.
A good problem solver with a 'figure it out' growth mindset.
An excellent collaborator.
An excellent communicator.
A strong sense of ownership and accountability.
A 'keep it simple' approach to #makeithappen.

Skills

Machine learning
Generative AI
Deep learning
Recommendation systems
NLP
Pattern recognition
Data mining
Scikit-learn
XGBoost
LightGBM
CatBoost
SVMs
Keras
TensorFlow
PyTorch
Transformers
LLM fine-tuning
Software engineering
Data structures
Algorithms
System design
ML system design
MLOps
Data engineering
ML engineering
Airflow
Feature engineering
SQL
Python
Statistical analysis
Experiment design
A/B testing
Multivariate testing
Inferential methods
Causal methods
Predictive methods
Data modeling
Dimensional design
ML lifecycle management
Product data analysis
LLMs
NLP-based solutions
BigQuery
Google Cloud Platform

Location

Kuwait

Work Type

On-demand
Q-commerce

Experience Level

Sr. Data Scientist
5+ years of experience

Education Level

Bachelor's degree in engineering, computer science, technology, or similar fields
Postgraduate degree is a plus

About the Company

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers.
talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density.
We're all about keeping it real and making a difference.
Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes.
We are proud to be a multi great place to work award winner.