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Strong Tier-1 brand, mid-level ML role in metro with broad requirements increases candidate competition.
Requires oil and gas domain knowledge and ML expertise, limiting cross-industry transferability.
Explicit 5+ years requirement plus Azure/Databricks and energy domain expertise increases filter strictness.
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Design and develop AI/ML models to accelerate business value delivery within Chevron's Enterprise AI team.
Collaborate with AI managers, petro-technical professionals, and engineers to integrate models into business workflows.
Identify opportunities for advanced analytics, manage model lifecycle, and communicate insights to stakeholders.
5 to 12 years of experience in AI/ML model design and development or optimization algorithms.
Strong foundation in mathematics, statistics, and data science methodologies including supervised and unsupervised learning.
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 and related business workflows.
Experience working within cross-functional teams involving business and technical stakeholders to deliver AI solutions.
Proven ability to frame data science problems and translate complex data into actionable business insights.
Demonstrated collaboration skills across organizational levels and geographic boundaries to achieve project outcomes.