On.Energy is a Miami-headquartered independent power producer that develops, integrates and operates AI-driven battery energy storage systems across the Americas.
<div class="content-intro"><p>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.</p></div><p>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.</p> <p><span style="text-decoration: underline;"><strong>Understanding the Context</strong></span></p> <ul> <li>Understand the business problem and the technical context of each project.</li> </ul> <p><span style="text-decoration: underline;"><strong>Data ingestion and Structuring</strong></span></p> <ul> <li>Analyze and document the available data sources.</li> <li>Extract information from structured files, databases, and APIs.</li> <li>Organize and structure datasets for subsequent analysis.</li> <li>Assist in the ingestion and acquisition of the data required for each project.</li> </ul> <p><span style="text-decoration: underline;"><strong>Data Quality and Cleaning</strong></span></p> <ul> <li>Carry out data-cleaning tasks: handling missing values, duplicates, and inconsistencies.</li> <li>Validate the quality, integrity, and consistency of the information.</li> <li>Identify and report data issues, as well as any relevant findings.</li> </ul> <p><span style="text-decoration: underline;"><strong>Analysis and Visualization</strong></span></p> <ul> <li>Perform exploratory data analysis to identify patterns and anomalies.</li> <li>Build visualizations that make the data easier to interpret.</li> <li>Help produce and, where possible, automate statistical reports to support the commercial team.</li> </ul> <p><span style="text-decoration: underline;"><strong>Modeling and Experimentation</strong></span></p> <ul> <li>Support the preparation and transformation of data for analytical and predictive models.</li> <li>Take part in Machine Learning and Deep Learning experiments.</li> <li>Help run, evaluate, and monitor existing models.</li> <li>Contribute to predictive maintenance through anomaly-detection, prognosis, and classification models.</li> </ul> <p><span style="text-decoration: underline;"><strong>Maintenance and Continuous Improvement</strong></span></p> <ul> <li>Help keep production AI algorithms running and suggest improvements.</li> <li>Document processes, methodologies, assumptions, and results.</li> <li>Collaborate with the team on analysis, modeling, and continuous-improvement activities.</li> <li>Learn and apply best practices in Data Science and Machine Learning.</li> </ul> <p><span style="text-decoration: underline;"><strong>Projects You May Support</strong></span></p> <p>You will likely contribute to two projects: (1) ERCOT market fundamentals analytics, and (2) predictive maintenance.</p> <p> </p> <p><span style="text-decoration: underline;"><strong>Requirements </strong></span></p> <ul> <li>Currently in the final (last) semester of a degree program in Mathematics, Statistics, Physics, Engineering, Data Science, or a related quantitative field. </li> <li style="text-align: left;">Solid foundation in quantitative and analytical methods gained through coursework in the field of study above.</li> </ul> <p><span style="text-decoration: underline;">Nice to Have</span></p> <ul> <li>Prior research experience, whether academic (i.e., thesis, lab, published work) or applied, is a plus!</li> </ul><div class="content-conclusion"><hr> <p><strong>For US-based roles - What you’ll get:</strong></p> <ul> <li>Competitive salary + annual performance-based bonus eligibility</li> <li>Medical, dental, and vision insurance</li> <li>401(k) with company match</li> <li>Paid time off and company holidays </li> </ul> <p><strong>For Mexico-based roles - What you’ll get:</strong></p> <ul> <li>Competitive salary + annual performance bonus eligibility</li> <li>Christmas Bonus (Aguinaldo): 30 days</li> <li>Major medical expenses and life insurance</li> <li>Paid time off and holidays (per local policy)</li> </ul> <p><strong>For all roles:</strong></p> <ul> <li>Professional development and growth opportunities</li> <li>Opportunity to grow with a mission-driven team shaping the future of clean energy</li> <li>Equal Opportunity: ON.energy is committed to equal employment opportunity and to maintaining a work environment free of harassment, discrimination, or retaliation.</li> <li>Accommodations: If you need an accommodation during the application process, email <a href="mailto:recruitment@onenergystorage.com">recruitment@onenergystorage.com</a></li> <li>Benefits vary by role and location and are subject to change.</li> </ul></div>