Senior Data Scientist
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Key skills for this role
About the Role
Contract duration: 6 months (with a potential extension) Engagement Type: Full-time Start date: July 2026 Location: Abu Dhabi (on-site) Role Overview As a Senior Data Scientist,.
Key Skills for This Role
Responsibilities
- Translate client business problems into end to end system architectures combining Data, ML, and software components
- Design and implement robust data pipelines (batch and streaming) with quality and lineage
- Develop ML solutions using production quality Python/JS code following software engineering best practices
- Build and maintain CI/CD pipelines for ML systems, including automated testing and deployment
- Containerize and deploy services using Docker, Kubernetes, and cloud native tooling
- Design monitoring and observability systems for data and model performance
Requirements
- 5+ years of experience in data science or related analytical field
- 5+ years delivering end to end analytics/ML solutions in production
- Proficiency in Python (pandas/NumPy) and SQL
- Experience with software engineering best practices (coding standards, testing, Git)
- Bachelor's degree in quantitative field (Master's preferred)
Full Job Posting
Role Overview
- Contract duration: 6 months (with potential extension). Engagement Type: Full time. Start date: July 2026. Location: Abu Dhabi (on site).
- As a Senior Data Scientist, you will independently work on specific data projects and be responsible for implementing analytical solutions.
- You will design, build, deploy, and support end to end Data & AI solutions, translating complex business challenges into scalable, production ready analytics and machine learning systems.
Key Responsibilities
- Translate client business problems into end to end system architectures that combine Data, ML, and software components.
- Lead the design of scalable, modular AI solutions, defining services, interfaces, and data flows.
- Design and implement robust data pipelines (batch and streaming) with strong guarantees on quality, lineage, and observability.
- Build and manage feature pipelines and feature stores, ensuring consistency between training and inference.
- Develop ML solutions using production quality code (Python/JS), following software engineering best practices.
- Implement unit, integration, and end to end tests for data and ML components.
- Build and maintain CI/CD pipelines for ML systems, including automated testing, validation, and deployment.
- Containerize and deploy services using Docker, Kubernetes, and cloud native tooling.
- Design monitoring and observability systems (logs, metrics, alerts) for both data and model performance.
- Design systems for high availability, fault tolerance, and horizontal scalability.
- Produce developer focused documentation (APIs, architecture diagrams, runbooks).
- Establish and enforce coding standards, review processes, and engineering best practices.
Required Experience and Qualifications
- Prior experience at management consulting firms and/or Big Tech is an advantage.
- Client serving experience is an advantage.
- 5+ years of experience in data science or a related analytical field.
- 5+ years delivering end to end analytics/ML solutions from problem framing through deployment and ongoing monitoring in production.
- Experience applying software engineering methodologies and best practices.
- Prior experience in developing AI solutions on public cloud services is an advantage.
- Bachelor's degree (Master's preferred) in a quantitative field (Computer Science, Data Science, Statistics, Mathematics, Engineering).
- Technical Expertise: Coding & data querying: Python (pandas/NumPy) and SQL; writing clean, testable code with Git.
- Statistics & experimentation: Probability/statistics, hypothesis testing, regression, and A/B testing/experimental design.
- ML modelling: Feature engineering, model selection, cross validation, metrics, and hyperparameter tuning (supervised/unsupervised).
- Data prep & analysis: ETL/EDA, data cleaning, handling missing/outliers, and building insight narratives with visuals.
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