Senior Data Scientist

Job Title: Senior Data Scientist
Location: Qatar

About the Role:
We are seeking an experienced and innovative Senior Data Scientist to drive the development and execution of advanced data science strategies and solutions for our client, a major Oil and Gas company. This role will be pivotal in promoting data-driven decision-making and delivering high-impact analytics across various business domains.

Qualifications and Experience Required:

• Education: Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
• Experience:
  • Prior experience in data science with a proven track record in machine learning, advanced analytics, and data-driven decision-making.
  • Industry experience in oil and gas is preferred, with familiarity in handling data types such as seismic and production data.
  • Hands-on experience with Generative AI technologies, including large language models.
• Technical Skills:
  • Proficiency in Python (essential); Spark experience is a plus.
  • Strong command of SQL, Pandas, TensorFlow, PyTorch, and Scikit-learn.
  • Familiarity with cloud platforms (e.g., Microsoft Azure) and visualization tools like Power BI.
  • Experience with big data technologies such as Hadoop, Spark, or Databricks.
• Key Skills:
  • Strong statistical analysis and problem-solving capabilities.
  • Excellent collaboration and communication skills to work with cross-functional teams.
  • Leadership experience in mentoring and project management.

Key Responsibilities:

1. Strategic Contribution:
   • Develop and execute data science strategies and roadmaps aligned with business objectives.
   • Propose and implement tactical solutions to transform the organization into a data-driven company.
   • Promote data science and analytics to enhance business insights and decision-making processes.
2. Technical Development:
   • Lead the creation of innovative Proof of Concepts (PoCs) and end-to-end data analytics solutions.
   • Maximize the value of diverse data sources, including geosciences, operations, HSE, and more.
   • Develop algorithms and data-driven analytical solutions for in-house use case building and enhancement.

 

1. Collaboration & Vendor Management:
   • Manage relationships with internal stakeholders and external vendors for data science projects.
   • Support vendor selection processes and oversee the execution of vendor-led analytics scopes.
2. Project Lifecycle Management:
   • Conduct complex quantitative analysis and modeling to address business challenges.
   • Ensure end-to-end implementation of analytics models and supervise data science pilots and MVPs.
   • Support deployment, user adoption, and scaling of analytics solutions.
3. Communication & Training:
   • Translate sophisticated data science concepts into actionable insights for non-technical stakeholders.
   • Mentor junior team members and foster a collaborative, growth focused team environment

Our role in supporting diversity and inclusion
As an international workforce business, we are committed to sourcing personnel that reflects the diversity and values of our client base but also that of Orion Group. We welcome the wide range of experiences and viewpoints that potential workers bring to our business and our clients, including those based on nationality, gender, culture, educational and professional backgrounds, race, ethnicity, sexual orientation, gender identity and expression, disability, and age differences, job classification and religion. In our inclusive workplace, regardless of your employment status as staff or contract, everyone is assured the right of equitable, fair and respectful treatment.