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Tier-1 employer, common Data Scientist title, and metro Bengaluru increase candidate density despite energy specialization.
Strong oil and gas domain expertise requirement limits transferability across industries.
Explicit 10–15 years, energy domain expertise, and mandatory ML/cloud skills make filters strict.
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Design and develop AI/ML models to accelerate business value delivery in Chevron's energy sector.
Collaborate with AI managers and technical teams to integrate models into business workflows and drive innovation in data-driven decision-making.
Provide technical mentoring and communicate complex data insights effectively to diverse stakeholders.
5 to 15 years of professional experience in AI/ML model design and development.
Strong proficiency in mathematics, statistics, Python programming, and cloud AI/ML services (preferably Azure Machine Learning and Databricks).
Domain knowledge in energy sector, specifically oil and gas value chain (upstream, midstream, downstream).
Work Experience Required: Minimum 5 years, up to 15 years; Notice Period: Not explicitly mentioned in the JD.
Experienced in framing data science opportunities and executing deliverables within cross-functional and geographically distributed teams.
Skilled at applying advanced analytics to business workflows to generate actionable insights that enhance decision-making.
Capable of collaborating across organizational levels, adapting based on feedback, and mentoring others in modeling and analytics technologies.