Power Gen Data Scientist — Predictive Analytics (Onsite)

PROPWR; Houston (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

PROPWR is seeking a Data Scientist in Houston, onsite, to drive advanced analytics for power generation assets. You will analyze data from SCADA systems, build predictive models for equipment health, and develop dashboards that translate complex insights into actionable recommendations for engineers and operations teams.

Ideal candidates have 3–7 years in data science, strong Python or R and SQL skills, and experience with time series data and industrial datasets.

Qualifications

• Bachelor's degree in a core quantitative field.
• 3–7 years of data science or analytics experience.
• Strong Python or R and SQL skills.
• Experience with time series and operational datasets.
• Ability to communicate complex analytics clearly.

Responsibilities

• Analyze datasets from power generation assets and SCADA systems.
• Develop predictive models for equipment health and maintenance planning.
• Build forecasting models for generation output and reliability.
• Create dashboards and KPIs for operations teams.
• Communicate insights to non-technical stakeholders and collaborators.
• Support RCA investigations with data-driven evidence.

Skills

Statistical modeling

Time series analysis

Data storytelling

Problem solving

Education

Bachelor's degree in Data Science/Engineering/Math/Statistics/CS

Tools

Python

R

SQL

Job description

PROPWR is seeking a Data Scientist in Houston, onsite, to drive advanced analytics for power generation assets. You will analyze data from SCADA systems, build predictive models for equipment health, and develop dashboards that translate complex insights into actionable recommendations for engineers and operations teams.

Ideal candidates have 3–7 years in data science, strong Python or R and SQL skills, and experience with time series data and industrial datasets.