We are looking for a Senior Data Scientist for one of our Clients :
Location : Doha, Qatar
Work Status : Residential
Contract Duration : ASAP - Dec 2025
QUALIFICATIONS & EXPERIENCE REQUIRED
Education: Master’s degree in a relevant field such as Data Science, Computer Science, Statistics, Mathematics, or Engineering.
Experience: 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.
Technical 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.
Key Skills:
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.
Stakeholder Collaboration: Experience working with cross-functional teams, communicating technical concepts to non-technical stakeholders, and driving adoption of data-driven solutions.
Leadership: Experience mentoring junior team members, providing technical guidance, and leading data science projects to successful completion.
ACCOUNTABILITIES
To participate in the development and execution of the data science strategy & roadmap.
Propose tactical solutions to support the company’s strategic objectives to become a data driven company.
To promote data science & analytics to increase business insights to resolve business problems or support decisions making processes.
Develop innovative PoCs and end-to-end data analytics solutions with high value adding in terms of business impact.
Contribute and propose ways to maximize the value of geosciences, operations, HSE, CPD and MP, etc. data.
To manage relationships with internal and external vendors for data science.
