Data Scientist - Internship

ON.energy is building the power infrastructure that makes the AI era possible. As AI demand surges past what the grid and traditional data centers can support, ON.energy provides a new class of power technology proven at gigawatt scale and trusted by the world’s leading cloud and AI companies. Our systems are already deployed across 2.5 GW of hyper-scale campuses, validated by top U.S. national labs, and certified for grid-safe operation by major utilities. With real products in the field, we’re scaling faster than the grid can, transforming power from a bottleneck into a competitive advantage for the companies building the future.

As a Data Science Intern, you will support the team across the full data workflow — from understanding the problem to preparing data, running analyses, and assisting with models — while learning and applying best practices in Data Science and Machine Learning.

Understanding the Context

• Understand the business problem and the technical context of each project.

Data ingestion and Structuring

• Analyze and document the available data sources.
• Extract information from structured files, databases, and APIs.
• Organize and structure datasets for subsequent analysis.
• Assist in the ingestion and acquisition of the data required for each project.

Data Quality and Cleaning

• Carry out data-cleaning tasks: handling missing values, duplicates, and inconsistencies.
• Validate the quality, integrity, and consistency of the information.
• Identify and report data issues, as well as any relevant findings.

Analysis and Visualization

• Perform exploratory data analysis to identify patterns and anomalies.
• Build visualizations that make the data easier to interpret.
• Help produce and, where possible, automate statistical reports to support the commercial team.

Modeling and Experimentation

• Support the preparation and transformation of data for analytical and predictive models.
• Take part in Machine Learning and Deep Learning experiments.
• Help run, evaluate, and monitor existing models.
• Contribute to predictive maintenance through anomaly-detection, prognosis, and classification models.

Maintenance and Continuous Improvement

• Help keep production AI algorithms running and suggest improvements.
• Document processes, methodologies, assumptions, and results.
• Collaborate with the team on analysis, modeling, and continuous-improvement activities.
• Learn and apply best practices in Data Science and Machine Learning.

Projects You May Support

You will likely contribute to two projects: (1) ERCOT market fundamentals analytics, and (2) predictive maintenance.

Requirements

• Currently in the final (last) semester of a degree program in Mathematics, Statistics, Physics, Engineering, Data Science, or a related quantitative field. 
• Solid foundation in quantitative and analytical methods gained through coursework in the field of study above.

Nice to Have

• Prior research experience, whether academic (i.e., thesis, lab, published work) or applied, is a plus!

For US-based roles - What you’ll get:

• Competitive salary + annual performance-based bonus eligibility
• Medical, dental, and vision insurance
• 401(k) with company match
• Paid time off and company holidays 

For Mexico-based roles - What you’ll get:

• Competitive salary + annual performance bonus eligibility
• Christmas Bonus (Aguinaldo): 30 days
• Major medical expenses and life insurance
• Paid time off and holidays (per local policy)

For all roles:

• Professional development and growth opportunities
• Opportunity to grow with a mission-driven team shaping the future of clean energy
• Equal Opportunity: ON.energy is committed to equal employment opportunity and to maintaining a work environment free of harassment, discrimination, or retaliation.
• Accommodations: If you need an accommodation during the application process, email recruitment@onenergystorage.com
• Benefits vary by role and location and are subject to change.