Job description
ON.energy is building the backbone of energy and AI infrastructure powering grid-safe data centers and mission-critical facilities. The company supplies and operates hyperscale power systems that solve the toughest resilience challenges, delivering custom solutions for AI data centers, mission-critical facilities, and front-of-the-meter assets. ON recently announced a 5GW partnership, with 3GW currently under construction across multiple hyperscale data center campuses. With patented technology and proprietary software, ON.energy develops projects worldwide that set new benchmarks for resilience.
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.
Agency Notice: ON.energy does not accept unsolicited resumes from staffing agencies, search firms, or third-party recruiters. Resumes submitted without a fully executed Master Services Agreement (MSA) and a written request from an authorized member of our Talent Acquisition team will be considered the property of ON.energy. No placement fees or compensation will be paid for unsolicited candidate submissions.