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Tier-1 brand, metro location, and mid-level ML role with broad requirements increase applicant competition.
High because required oil and gas domain knowledge strongly limits cross-industry transferability.
High due to explicit 5+ years requirement and mandated oil and gas domain expertise.
Design and develop AI/ML models to solve business challenges in Chevron's energy sector.
Collaborate with AI Technical Manager and domain experts to integrate models into business workflows and deliver data-driven insights.
Establish model lifecycle management and provide technical mentoring within the analytics team.
5 to 12 years of experience in AI/ML model development and optimization algorithms.
Strong foundation in mathematics, statistics, and advanced data science methodologies; proficiency in Python and knowledge of cloud AI/ML services (Azure ML, Databricks preferred).
Relevant domain knowledge in energy sector, specifically oil and gas value chain (upstream, midstream, downstream).
Notice period: Not explicitly mentioned in the JD.
Experienced in framing data science opportunities and applying technical solutions across cross-functional business workflows in large enterprise environments.
Able to translate complex data into actionable business insights and drive accountability for deliverables and schedules.
Skilled at building collaborative relationships across organizational levels and geographies to achieve business outcomes in energy domain.