Data Scientist Internship

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 provides a new class of power technology proven at gigawatt scale and trusted by the worlds 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 were 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 youll 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 youll 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: 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
• Benefits vary by role and location and are subject to change.