Remote Energy Data Scientist - Grid Analytics & ML

Far Coder; Northern (KY); Hybrid; USD 100,000 - 157,000; Full time

Benefits offered by this job

100% paid medical for employees

401(k) with employer match

casual environment

flexibility to set your own schedule

gym subsidy

education assistance program

Job summary

EnergyHub is seeking an Energy Data Scientist to join the Analytics Engineering team. You will drive M&V methodologies, build data science models, and write production-level code to convert energy IoT data into actionable insights for electric utilities and stakeholders.

You will collaborate with Data Science, Data Engineering, and Product teams to improve models used in evaluation of control algorithms and to enhance forecasting capabilities nationwide.

Qualifications

• Experience with Python and the scientific stack (pandas, numpy, scipy).
• Proficiency in SQL and data modeling practices (ETL/ELT).
• Knowledge of ML basics and common packages (Sklearn, TensorFlow).

Responsibilities

• Drive development of M&V methodologies and data science models.
• Write production-level code and prototype new data products.
• Translate energy IoT data into actionable insights for utilities and stakeholders.

Skills

Python

SQL

ML basics

ETL/ELT

Pandas/Numpy

TensorFlow/Sklearn

Tools

Snowflake

dbt

Sigma/Tableau/Looker

Job description

EnergyHub is seeking an Energy Data Scientist to join the Analytics Engineering team. You will drive M&V methodologies, build data science models, and write production-level code to convert energy IoT data into actionable insights for electric utilities and stakeholders.

You will collaborate with Data Science, Data Engineering, and Product teams to improve models used in evaluation of control algorithms and to enhance forecasting capabilities nationwide.