Data Scientist – Power Gen, Predictive Analytics & Reliability

ProPetro Services, Inc.; Houston (TX); On-site; USD 110,000 - 160,000; Full time

Job summary

ProPetro Services, Inc. is seeking a Data Scientist to advance predictive analytics for power generation fleets.

You will work with SCADA and historian data to identify trends, building models for asset health and maintenance planning while delivering actionable insights to operations teams. The role requires 3–7 years in data science, strong Python or R and SQL skills, and the ability to communicate complex results to non-technical stakeholders.

Qualifications

• Bachelor's degree in a data-related field.
• 3–7 years of experience in data science or analytics.
• Strong communication skills to explain insights to non-technical stakeholders.

Responsibilities

• Analyze large datasets from power generation assets, SCADA systems, and historian platforms to identify trends and anomalies.
• Develop predictive models for equipment health, failure probability, and maintenance planning.
• Build forecasting models for generation output, performance, and reliability.
• Create dashboards and KPIs for engineering and operations teams to monitor asset performance.
• Validate data quality and support RCA investigations with data-driven evidence.
• Document models, methodologies, and business impact; ensure reproducibility and version control.

Skills

Python

R

SQL

Time series

Industrial data

Education

Bachelor's degree in a data-related field

Job description

ProPetro Services, Inc. is seeking a Data Scientist to advance predictive analytics for power generation fleets.

You will work with SCADA and historian data to identify trends, building models for asset health and maintenance planning while delivering actionable insights to operations teams. The role requires 3–7 years in data science, strong Python or R and SQL skills, and the ability to communicate complex results to non-technical stakeholders.