Staff Data Scientist: Energy Forecasting & Control

ManpowerGroup Global, Inc.; Norge, Lehi (OK, UT); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading energy solutions provider in the United States is seeking a Staff Data Scientist to enhance home energy intelligence through advanced data models. This role involves developing predictive models for energy efficiency and demand-response strategies while collaborating with technical teams. The ideal candidate will have over 5 years in the energy sector, strong skills in Python and predictive modeling, and the capability to communicate complex insights effectively. This position is onsite in Lehi, UT, offering a 12-month contract.

Qualifications

• 5+ years of energy industry experience with technical leadership in modeling initiatives.
• Proficiency in energy forecasting or Demand Response optimization.
• Expertise in predictive modeling and applied ML techniques.

Responsibilities

• Build and deploy advanced predictive models for occupancy and cost forecasting.
• Optimize energy operations using data-driven insights.
• Transform legacy data into robust, reusable data products.

Skills

Predictive modeling

Energy forecasting

Statistical analysis

Python

Communication skills

Education

Advanced degree (MS/PhD) in a quantitative field

Tools

Pandas

NumPy

scikit-learn

PySpark

Spark

Databricks

GCP

Job description

A leading energy solutions provider in the United States is seeking a Staff Data Scientist to enhance home energy intelligence through advanced data models. This role involves developing predictive models for energy efficiency and demand-response strategies while collaborating with technical teams. The ideal candidate will have over 5 years in the energy sector, strong skills in Python and predictive modeling, and the capability to communicate complex insights effectively. This position is onsite in Lehi, UT, offering a 12-month contract.