DETAILS Location: Downtown Houston TX (Hybrid: remote on Mondays and Fridays) Position Type: DirectHire Salary: $125K based on experience Residency Requirements: Must be authorized to work in the U.S. (No sponsorship available) Educational Requirements: Bachelor’s or Master’s degree in Data Science Computer Science or related field.
ABOUT THE POSITION GTN Technical Staffing is seeking a Data Scientist Advisor for a DirectHire FTE Hybrid role in Houston TX. The Data Scientist Advisor will demonstrate extensive experience in the oil and gas industry to support business growth through advanced data ytics machine learning and AI. In this role you will lead and collaborate on multidisciplinary projects solving operational challenges such as production optimization drilling and completion process improvement and backoffice automation. Leveraging your technical expertise you will implement cuttingedge technologies and best practices to streamline workflows and drive innovation.
Lead and collaborate on crossfunctional projects addressing production automation process optimization and dashboard deployment.
Design and implement machine learning models and AI solutions for operational efficiency.
Utilize Python and data mining tools to yze large datasets providing actionable insights for decisionmaking.
Drive the adoption of new technologies and best practices for ytical workflows.
Present findings to stakeholders effectively communicating complex data and solutions.
Manage multiple projects in a fastpaced environment delivering results under tight deadlines.
TECHNICAL REQUIREMENTS 810 years of experience in the following s sets..
Data ytics and handling large datasets.
Proficiency in Python and data ysis tools.
Proficiency in additional programming languages (SQL R C).
3 years’ of experience utilizing data sciences within the oil and gas sector preferably with petroleum engineering or geoscience workflows
Strong collaboration and presentation ss.
Ability to work effectively in teamoriented environments.
Excellent communication ss and the ability to work under pressure.
HIGHLY DESIRED BUT NOT REQUIRED
Advanced degree (Master’s PhD) or certifications in Data Science or Data ytics.
Expertise with unconventional exploitation programs and upstream/midstream operations.
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