Data Scientist

• Develop and implement sophisticated models to optimize production volumes and drilling processes.
• Collaborate with cross-functional teams to integrate data science solutions into operational workflows.
• Utilize machine learning and statistical techniques to analyze complex datasets and deliver actionable insights.
• Deploy models end-to-end, ensuring robust performance and scalability.
• Present findings and recommendations to stakeholders in a clear and compelling manner.

Bachelor’s degree in Petroleum Engineering or related field, or equivalent experience in the Oil and Gas industry as a Data Scientist.

Minimum of 2 years of experience as a Data Scientist.

Proficiency in Python programming.

Proven experience in end-to-end model deployment.

Expertise in creating machine learning models.

Strong background in statistical modeling using Bayesian inference, particularly with PyMC.

Hands-on experience with Docker and Kubernetes for containerization.

Knowledge of GitHub actions and advanced CI/CD pipelines.

Excellent presentation and communication skills. Experience with oil and gas economic modeling.

Familiarity with Aries software for well economics.

Experience working with SCADA systems.

Background in field engineering.

Why Join Us: This position offers the opportunity to work on cutting-edge projects within the Oil and Gas industry, with consistent new challenges and the potential for career growth. As a member of the Optimization group, you will contribute to the advancement of data-driven solutions that drive operational excellence. If you are passionate about data science and eager to make a tangible impact, we encourage you to apply.

Based on knowledge and experience, this position offers and hourly pay rate range of $70-80/hr.

Insight Global is seeking a highly skilled Data Scientist to join the Optimization group of one of our esteemed clients in the Oil and Gas industry. This team plays a crucial role in developing advanced models that inform and prescribe optimal operating conditions for physical oil and gas assets. The successful candidate will engage in a variety of projects aimed at enhancing production volumes, refining drilling processes, economic planning, and more.