aipythonsqletlmachine learningdata analyticstime seriesoil and gasreservoir engineering
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Высококачественная специализированная роль на стыке экспертизы в нефтегазе и AI. Понятные ожидания и современный стек делают её отличным шансом для профи в энергетике.
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Текст:
Hirify AI/Оригинал
TL;DR
Customer Success Advisor – Reservoir Engineer (AI): Applying reservoir engineering expertise and AI-driven analytics to improve unconventional oil and gas development planning, reserves assessment, production optimization, and capital allocation with an accent on client enablement, analytical datasets, and production data. Focus on deploying data platforms, solving client workflow challenges, and translating complex reservoir data into actionable business insights.
Location: On-site in Midland, Texas; candidates must reside in or be willing to relocate to the Midland/Odessa area. Travel up to 25% is required.
Company
hirify.global is an AI-driven energy analytics company helping oil and gas operators and investors improve capital programs, reduce risk, and optimize performance through data analytics and applied AI.
What you will do
Serve as a technical advisor to unconventional oil and gas operators and investors.
Guide clients in using AI-driven tools for development planning, reserves assessment, production optimization, and capital allocation.
Advise clients on integrating data solutions into engineering workflows and resolve technical challenges with engineering and product teams.
Deliver training workshops, product deep-dives, and technical enablement sessions.
Develop account strategies, build relationships with client stakeholders, and drive measurable platform adoption.
Share client feedback with product teams and communicate platform enhancements, use cases, and outcomes.
Requirements
Must be located in Midland, Texas, or willing to relocate to the Midland/Odessa area; the role is on-site.
Bachelor’s degree in Petroleum Engineering, Geoscience, Data Science, or a related technical field.
At least 2 years of experience in unconventional resources as a reservoir, production, completions, or geoscience professional.
Proficiency in Python and SQL, including data manipulation, statistical analysis, and visualization.
Experience building analytical datasets, working with time-series production and completion data, and joining large public and proprietary datasets.
Strong communication, organization, and independent project-management skills, with experience explaining technical concepts to diverse audiences.
Nice to have
Knowledge of big data practices, workflow automation, or machine learning applied to production and completion data.
Experience with REST APIs, ETL/ELT pipelines, AWS, or third-party energy data sources.
Experience with oil and gas software such as Novi, Spotfire, ARIES, or ArcGIS.
Curiosity and self-directed learning in data science, machine learning, or AI.
Culture & Benefits
Small, collaborative environment combining engineering, data, and business work.
Focus on work-life balance and a flexible leave policy.
Health, dental, and vision insurance.
401(k) and stock options.
Opportunity to work at the intersection of reservoir engineering and AI.
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