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

Start Date: Dec-2025

End Date: Dec-2026 (possible extension)

Location: Doha, Qatar

Work status: Residential, Single

QUALIFICATIONS & EXPERIENCE

• Master's degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering.
• Minimum 6 years of experience in Data Science: Proven track record of developing and implementing machine learning models, advanced analytics solutions, and data-driven decision-making strategies
• Industry Expertise: Experience working in the oil and gas industry, with a strong understanding of its challenges, processes, and data types (e.g., seismic data, production data, reservoir data).
• GenAI Expertise: Hands-on experience with Generative AI technologies, including building PoCs/ solutions using large language models or other generative frameworks.
• Demonstrates mastery of the English language across spoken, written, and active listening skills, enabling clear, empathetic, and effective communication in diverse professional settings.

Technical & Soft Skills

• Programming Languages: Proficiency in Python is required. Additional experience in Spark is a plus.
• Data Manipulation Tools: Good experience with SQL, Pandas, and other data processing tools.
• Machine Learning Frameworks: Experience with TensorFlow, PyTorch, Scikit-learn, or similar libraries.
• Cloud Platforms: Hands-on experience with cloud services such as Microsoft Azure including their AI and data services is a plus.
• Visualization Tools: Proficiency in Power BI, or similar visualization platforms.
• Big Data Technologies: Familiarity with Hadoop, Spark, or Databricks is an advantage.
• Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics.
• Problem-Solving: Proven ability to translate complex business problems into actionable data science solutions.
• Collaboration: Strong track record of cross-functional collaboration, effectively communicating technical concepts, from foundational principles to advanced methodologies to diverse stakeholder audiences.
• Strong stakeholder management: Setting clear expectations, fostering trust through transparent communication, and applying empathy to build lasting, collaborative relationships.

ACTIVITIES

Safety, Communication & working environment

• Uphold and be a role model for company's core values, incident free and approved behaviours.
• Help maintain motivation, team spirit and camaraderie.
• Continuously improve ways of working through 'inspect and adapt', fostering a growth and collaborative mindset on the different stakeholders the Digital team works with.
• Effectively engages with peers and leaders through clear communication, active listening, and relationship-building.
• Able to mentor junior team members, provide technical guidance, and leading data science projects to successful completion.

Study: Ideation and experimentation

• Lead, manage and conduct data science pilots (big data and / or GenAI, Machine Vision), MVP or UC in coordination with business and Digital Business Solutions SMEs.
• Conduct data science studies through complex quantitative analysis and modelling independently and efficiently.
• Develop algorithms and data driven analytical solutions to enable in-house use case building.
• Translate the output of analysis into practical recommendations.
• Proactively explores diverse analytical techniques and communicates foundational concepts with clarity, while effectively influencing strategic decisions through upward communication.

Use case: Envisioning & conceptualization

• Support use case framing providing input regarding company's readiness in terms of data and best modelling methodology for the use case idea.
• Participate proactively in the design strategy in terms of technological choices, implementation of platforms & definition of priority subjects under the leadership of the Lead Data Scientist.
• Create technical specifications of the models and requirements for integration for the technical scope of work.
• Understand company data sources and performs queries to translate business requirements into data-driven solutions.
• Ensure and develop relations with vendors (software/technological vendors and consulting firms) related to data science matters.
• Facilitate market scouting and vendor selection during Call for Tenders (CFT), evaluating bidders' technical capabilities.

Use case: Development

• Supervise and provide guidance for the execution of the vendor-led data analytics/science scopes of PoC, MVP and/or UCs.
• Coordinate with the Development head, PO and Scrums in case of any issues & contribute proactively to their resolution.
• Oversee the e2e design and implementation of analytics models by the vendors, ensuring the required quality.
• Provide feedback in sprint reviews, to the product owner, scrums and Digital management.
• Propose and animate communication related to data science in coordination with data management groups (is
• and technical depts.)
• Identify the needs of the technical departments in terms of analysis and visualization of structured and/or unstructured data through big data and/or data mining approaches.
• Support user acceptance testing of the models delivered by the vendors.
• Explain sophisticated data science concepts in an understandable manner.

Use case: roll-out

• Ensure and promote the adoption by the users of the concepts and possibilities provided by data science within the technical departments.
• Support the transition to project/use case mode & support the implementation and deployment at scale of big data and/or data analytics solutions.

Use case: Enhancements

• Support the required re-training and enhancement of the models.
• Develop algorithms and data driven analytical solutions to enable in-house enhancements development.
• Monitor new methods as well as software and hardware technologies and technological trends.
• Participate in the development of partnerships to develop solutions and/or methods.