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# Energy Data Scientist

- **Company:** TALENTHOP LLC
- **Location:** United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Information Engineering, Extract Transform Load (ETL), Formal Verification, Python (Programming Language), Machine Learning, NumPy, Tensorflow, SciPy, SQL Databases, Tableau (Software), Google Cloud, Cloud Platform System, Snowflake, Pandas, Scikit Learn, Looker Analytics, Databricks
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8hnxb61k

## About the Role

* Experience with Python and scientific libraries such as pandas, numpy, and scipy
 * Proficiency in SQL and understanding of data modeling and ETL/ELT processes
 * Practical knowledge of machine learning algorithms and tools like Sklearn and TensorFlow
 * Ability to communicate complex data analysis results clearly to diverse audiences
 * Passion for enabling a carbon-free, distributed energy future

Bonus Qualifications:

 * Experience with measurement and verification of distributed energy resource controls
 * Familiarity with Snowflake, dbt, and analytics engineering practices
 * Experience with BI tools such as Sigma, Tableau, or Looker
 * Experience scaling data science products in cloud environments (Databricks, AWS, GCP, Azure)
 * Strong background in mathematics and statistics
 * Expertise in power systems and three-phase distribution network modeling

## Description

The ENERGY DATA SCIENTIST role is central to advancing the evaluation and forecasting of grid services delivered by distributed energy resources. This position contributes by developing measurement and verification methodologies and data science models, improving control algorithm assessments, and transforming complex energy IoT data into actionable insights. The role supports collaboration across data science, engineering, and client-facing teams to enhance the organization's impact in the energy sector., * Develop measurement and verification methodologies and data science models for evaluating grid services from distributed energy resources

 * Write production-level code and prototype new data products
 * Apply machine learning algorithms to large energy IoT datasets
 * Translate extensive distributed energy data into actionable insights for utilities and stakeholders
 * Collaborate with cross-functional teams including Data Engineering, Client Success, Marketing, Sales, Product, and Market Development
 * Perform other related duties as assigned