Advisor III, Data Science
Core
Transform complex data into clear insights, reporting, and analytical solutions to support business decisions and strategic planning at Phillips 66.
Role type
Senior IC data scientist (advanced analytics & ML)
Builds
Predictive, statistical, optimization, forecasting, and machine-learning models embedded into business processes and decision workflows.
Domain
Energy, refining, chemicals, and industrial manufacturing
Deliverable
production ML models
Required skills
Python, statistical modeling, machine learning, data analysis, feature engineering, model validation, data visualization, SQL, Git
Preferred skills
Optimization, time-series forecasting, causal analysis, NLP, AI, model deployment, productionization, mentoring
Technologies
Python, SQL, Git, cloud-based analytics environments, modern data platforms, machine-learning libraries
Responsibilities
Partner with business leaders to identify high-value data science opportunities; translate business questions into analytical problems; collect and validate complex data sets; develop and evaluate ML models; interpret outputs and translate findings into business actions; collaborate with engineering teams to deploy and monitor solutions; contribute reusable analytical workflows and best practices.
Seniority
Senior, hands-on IC