We are currently recruiting for a leading player in the energy industry, committed to innovation, sustainability, and leveraging cutting-edge technologies. We are seeking a dynamic and skilled Data Scientist to join their team and contribute to data-driven decision-making processes.

Responsibilities:
- Extract insights from large oil and gas datasets using statistical and machine learning techniques.
- Develop predictive models for forecasting equipment failure, production yields, and resource availability.
- Collaborate across teams to integrate predictive analytics, optimizing operational efficiency.
- Identify process optimization opportunities, implementing data-driven solutions to enhance production.
- Utilize SQL for efficient querying and Power BI for real-time monitoring and visualization.
- Conduct risk assessments and collaborate on strategies for minimizing operational and financial risks

Qualifications:

- 6-8 years of experience, energy industry is a plus.
- Advanced degree in Data Science, Computer Science, Statistics, or a related field.
- Proven experience in applying data science techniques to real-world problems, preferably in the oil and gas industry.
- Proficiency in programming languages such as Python or R, and experience with relevant libraries and frameworks.
- Strong knowledge of statistical analysis, machine learning, and predictive modeling.
- Familiarity with industry-specific data sources, such as well logs, seismic data, and reservoir simulation data, is a plus.
- Experience with SQL for data manipulation and Power BI for data visualization.

Benefits: ..

Consultant Name: Shayan Pereira

Consultant Email:

Mark Williams