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Tier-1 brand, metro location, and mid/senior generalist ML role with broad requirements increases competition.
Requires energy sector and Oil & Gas domain knowledge, making cross-industry transfers limited without domain expertise.
Explicit 5–12 years, mandatory AI/ML, Python, Azure/Databricks and energy domain experience raise filter strictness.
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Design and develop AI/ML models to address Chevron's business challenges in the energy sector.
Collaborate with technical managers, petro-technical professionals, and data engineers to integrate and operationalize models.
Identify, prototype, and deliver advanced analytics solutions that improve decision-making, workflows, and automation.
5 to 12 years of experience in AI/ML model design and optimization algorithms.
Strong foundation in mathematics, statistics, and advanced data science methodologies.
Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred).
Domain knowledge of the energy sector, specifically Oil and Gas value chain (upstream, midstream, or downstream).
Experienced in framing data science opportunities with ability to map technical solutions to cross-functional business workflows in energy sector.
Demonstrated track record of delivering quality AI/ML solutions aligned to schedule and business impact.
Able to communicate complex data insights to diverse stakeholders and mentor technical teams in modelling and analytics best practices.