Senior Data Scientist

We are looking for a Senior Data Scientist for one of our clients with the following details:

Location: Doha, Qatar

Start Date: January 2027

End Date: December 2027

Work Scheme: Residential, Single

Qualification and Experience Required:

Education:

• Master's degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, Engineering or a related quantitative discipline.

Experience:

• Minimum 8 years of experience in data science, advanced analytics and/or applied AI, with a proven track record of developing, validating and implementing machine learning models and data-driven decision solutions.
• Experience translating business problems into analytical use cases, defining success metrics, assessing data readiness and delivering measurable business value.
• Industry experience in oil and gas or industrial operations, with understanding of operational, geoscience, production, reservoir, HSE and engineering data.
• Hands-on experience with Generative AI, LLM-based solutions, retrieval-augmented generation, prompt orchestration, and Agentic AI workflows is an advantage.
• Experience with the machine learning lifecycle, including experimentation, validation, deployment readiness, monitoring, retraining, drift management and enhancement.

Technical & Soft Skills:

• Programming: Strong proficiency in Python is required; experience with Spark or distributed processing is an advantage.
• Data processing: Strong experience with SQL, Pandas and data preparation, with exposure to data pipelines, data quality, metadata and structured or unstructured data processing.
• Machine learning: Experience with Scikit-learn, TensorFlow, PyTorch, XGBoost or similar frameworks, with strong understanding of statistical modelling, predictive analytics, validation and experimentation.
• MLOps: Familiarity with production-ready ML practices such as version control, model tracking, CI/CD concepts, APIs, monitoring, retraining, drift detection and model governance.
• Cloud and platforms: Hands-on experience with Microsoft Azure, Azure AI/data services, Databricks, lakehouse platforms or equivalent cloud-native data and AI services is an advantage.
• Visualization and storytelling: Proficiency in Power BI or similar visualization tools, with ability to communicate insights, uncertainty, assumptions and recommendations to technical and non-technical audiences.
• Problem-solving: Proven ability to structure ambiguous business challenges and convert them into practical, scalable and value-adding data science solutions.
• Collaboration: Strong stakeholder management, vendor coordination and cross-functional collaboration skills, with the ability to build trust and influence decisions through clear, transparent communication.

Language proficiency:

• Mastery of English across spoken, written and active listening skills, enabling clear, empathetic and effective communication in diverse professional settings.

Job Purpose & Key Accountabilities:

• Shape and deliver the data science strategy and execution roadmap in support of the company's ambition to become a data-driven organization.
• Promote advanced analytics, machine learning, Generative AI and Agentic AI to improve business insight, operational performance, safety, efficiency and decision-making.
• Lead the development of high-value PoCs, MVPs and scalable data science solutions, ensuring clear business impact and adoption by end users.
• Maximize the value of geoscience, field operations, HSE, corporate planning, major projects & engineering and other enterprise data through robust analytics, modelling, data products and decision-support solutions.
• Manage internal stakeholders and external vendors to ensure technically sound, production-ready, secure and governable data science delivery.

If Interested Kindly apply.