Data Scientist: AI-Driven ML for Business Value

Chevron Corporation; Houston (TX); On-site; USD 120,000 - 170,000; Full time

Job summary

Chevron Corporation is seeking a Data Scientist to collaborate with the Data and AI and Enterprise AI teams in Houston. The role focuses on translating business opportunities into AI/ML solutions and delivering measurable value across the Chevron value chain.

The successful candidate will frame problems, prototype data science products, and support scalable deployment while partnering with business stakeholders and technical teams. A strong AI mindset and governance awareness are required.

Qualifications

• 5+ years of experience in applying advanced analytics techniques.
• Demonstrated depth in data science and ML technologies (e.g., ML, operations research, statistics, data mining).
• Working knowledge of Microsoft Azure and its tools.
• Proficiency in Python.
• Strong business problem framing to translate needs into data science/AI opportunities.
• Awareness of data governance, metadata, lineage, and responsible data use.

Responsibilities

• Identify and frame opportunities to apply data science, ML, AI, GenAI-enabled workflows to improve decision-making and business outcomes.
• Define expected business value, success metrics, and adoption considerations for opportunities.
• Identify data needs and appropriate technology to solve business challenges.
• Clean data and develop and test models.
• Establish lifecycle management for models (MLOps).
• Engage stakeholders to communicate progress, quantify impact, and support adoption.

Skills

Python

Azure

Data science

Machine learning

Communication

Responsible AI

Problem framing

Education

Bachelor's or Master's in quantitative field

Job description

Chevron Corporation is seeking a Data Scientist to collaborate with the Data and AI and Enterprise AI teams in Houston. The role focuses on translating business opportunities into AI/ML solutions and delivering measurable value across the Chevron value chain.

The successful candidate will frame problems, prototype data science products, and support scalable deployment while partnering with business stakeholders and technical teams. A strong AI mindset and governance awareness are required.