Join Quantum One's Abu Dhabi team as a Senior Data Scientist to work on mission-critical projects with UAE's largest organizations. Apply machine learning and operations research methodologies to solve complex problems. Design, develop, and deploy AI products and enterprise solutions.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
About Us
Quantum One is a leading AI solutions provider in UAE. Our firm was founded by a group of professionals from McKinsey & Company and BCG. We focus on integrating advanced AI capabilities with strategic business insight to deliver measurable impact across various sectors.
We’re looking for a highly skilled and motivated Data Scientist to join our Abu Dhabi team. This role offers the opportunity to work on mission-critical projects with the UAE's largest organizations, supported by relocation assistance.
Our Offer & Your Growth
We are committed to investing in our talent. Quantum One provides a competitive compensation package and clear career progression paths with opportunities for rapid advancement.
Core Responsibilities
As a Data Scientist, you will be instrumental in the execution and delivery in key areas:
- Strategic Implementation: Apply Machine Learning and Operations Research methodologies to solve complex problems for major UAE companies across diverse industries.
- Product Development: Design, develop, and deploy standalone AI products and enterprise solutions from initial concept through to production.
- Technical Excellence: Ensure the robust and scalable implementation of all AI models and systems.
Required Qualifications
We are looking for a candidate who meets the following criteria and is prepared to excel in a high-performance environment.
- Experience: A minimum of 5 years of professional experience in a Data Scientist or similar quantitative role.
- Language Proficiency: Fluent English is mandatory for effective communication with our international team and clientele.
- Technical Foundation: Demonstrated expertise across the following core stack: Python, Git, Docker/Kubernetes, Postgres (or similar RDBMS/NoSQL), and experience with at least one major Cloud Platform (Azure, AWS, or GCP).
Machine Learning Expertise:
- Data Analysis & Modeling: Pandas, NumPy, scikit-learn, and advanced boosting techniques (CatBoost, LightGBM).
- Model Interpretation: Experience utilizing tools like SHAP for model explainability.
- Visualization: Proficient use of libraries such as Matplotlib and Seaborn.
Advanced AI Systems (Highly Valued):
Practical experience with Large Language Models (LLM) and Retrieval-Augmented Generation (RAG) frameworks, including:
- Frameworks: LangChain.
- Models & Ecosystems: Working knowledge of models like Llama and Qwen, and utilizing the Hugging Face and OpenAI/ChatGPT ecosystems.
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