This position is no longer open for applications

Senior Data Scientist

Senior Data Scientist (012025) Doha, Qatar

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.
;