Remote Refinery Optimization Engineer: LP & Kinetic

Petro Papa; Dallas, Northern (TX, KY); Hybrid; USD 180,000 - 260,000; Full time

Benefits offered by this job

Medical Insurance

Vision Insurance

Paid Time-Off

401(k) Retirement Plan with match

Educational Reimbursement

Parental Bonding Time

Employee Discounts

Job summary

HF Sinclair is seeking a Remote Operations Research Engineer with deep expertise in refinery LP models and kinetic modeling to drive optimization across planning and distribution. You will contribute to governance, data collection, and model fidelity, working with cross‑functional teams to translate plant behavior into robust mathematical formulations.

The role emphasizes advanced optimization, analytics, and collaboration across engineering, planning and commercial groups, with travel to Dallas

Qualifications

• Minimum 10 years in energy industry.
• Bachelor's degree required; MBA preferred.
• Experience with refinery LP models and kinetic equations.

Responsibilities

• Develops and optimizes refinery and distribution LP models.
• Leads model governance, documentation and version control.
• Builds and tunes kinetic modeling equations for refinery optimization.
• Collaborates with process engineers and technical teams to gather data.

Skills

LP modelling

Kinetic modelling

AVEVA USC

Model governance

Data analysis

Leadership

Communication

Education

Bachelor's degree

MBA (preferred)

Tools

AVEVA Unified Supply Chain (USC)

Job description

HF Sinclair is seeking a Remote Operations Research Engineer with deep expertise in refinery LP models and kinetic modeling to drive optimization across planning and distribution. You will contribute to governance, data collection, and model fidelity, working with cross‑functional teams to translate plant behavior into robust mathematical formulations.

The role emphasizes advanced optimization, analytics, and collaboration across engineering, planning and commercial groups, with travel to Dallas