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Strong employer brand, popular Data Scientist title, Bangalore metro location, and broad ML/cloud requirements.
Role requires sector-specific oil and gas domain knowledge making transferability limited.
Explicit 10-15 years required plus oil and gas domain expertise and cloud/ML skill mandates make filters strict.
Design and develop AI/ML models to accelerate Chevron's business value delivery.
Collaborate with AI Technical Manager, petro-technical professionals, and data engineers to integrate models into business workflows.
Identify data science opportunities and manage the end-to-end model lifecycle including data cleaning, development, testing, and deployment.
5+ years experience designing and developing AI/ML models and/or optimization algorithms; total experience required between 10-15 years.
Solid foundation in mathematics, probability, statistics, and advanced analytics methodologies.
Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred).
Domain knowledge relevant to energy sector with working knowledge of Oil and Gas value chain and associated business workflows.
Experienced in framing data science opportunities and applying technical concepts across cross-functional business workflows in energy or similar sector.
Capable of driving execution to meet quality and schedule goals with ability to translate complex data into actionable business insights.
Skilled in collaborative communication, able to engage stakeholders across organizational levels and geographic boundaries to achieve outcomes.