Data Science Intern

San Jose, CA, US • Posted 10 hours ago • Updated 10 hours ago
Full Time
On-site
USD $36.00 - 50.00 per hour
Fitment

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Job Details

Skills

  • Value Engineering
  • Data Centers
  • Manufacturing
  • Sustainability
  • Innovation
  • Business Intelligence
  • Analytics
  • Artificial Intelligence
  • Product Optimization
  • Supply Chain Management
  • Financial Forecast
  • Maintenance Planning
  • Reporting
  • Data Engineering
  • Product Management
  • Operational Efficiency
  • Workflow
  • Technical Writing
  • Computer Science
  • Electrical Engineering
  • Applied Mathematics
  • Industrial Engineering
  • Spring Framework
  • Python
  • Data Science
  • SQL
  • Statistics
  • Machine Learning (ML)
  • Forecasting
  • Optimization
  • Time Series
  • Git
  • Cloud Computing
  • Conflict Resolution
  • Problem Solving
  • Communication
  • Collaboration
  • Regulatory Compliance
  • SAP BASIS
  • Energy

Summary

This is a summer internship starting in May/June and is fully on-site at the listed office location.

Company Overview

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream-we're making it a reality.

For over two decades, we've been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what's possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled "time-to-power" capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm.

At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century.

Department Overview

The Services Business Intelligence team develops analytics, data products, AI solutions, and automation that help Bloom Energy operate and scale its global service organization. The team supports fleet performance, predictive maintenance, product optimization, supply chain and financial forecasting, maintenance planning, and executive reporting. We work across engineering, operations, data engineering, product management, and data science to turn complex operational data into reliable tools and actionable decisions.

Intern Project

Interns will have a primary project during the summer internship and may work on additional projects. While the project could change by the time of the internship, we anticipate that the main project will involve the following:

The intern will develop and improve data science solutions for industrial applications such as fleet optimization, predictive maintenance, and operational efficiency. The project may include preparing and validating data, developing machine learning models, improving model-supporting workflows, and evaluating solution performance. The intern will deliver documented analysis, tested code, and recommendations for deploying or scaling the solution.

Position Responsibilities
  • Prepare, explore, and validate operational and time-series data.
  • Develop and evaluate machine learning models for industrial applications.
  • Improve data and software workflows supporting model development and deployment.
  • Write tested, reusable Python code and technical documentation.
  • Present findings and recommendations to technical and business stakeholders.

Minimum Qualifications
  • Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Electrical Engineering, Applied Mathematics, Industrial Engineering, or a related field.
  • Must be graduating between spring 2027 and summer 2028

Desired Qualifications
  • Proficiency in Python and common data science libraries.
  • Working knowledge of SQL, statistics, data preparation, and model validation.
  • Coursework or project experience in machine learning, forecasting, anomaly detection, optimization, or time-series analysis.
  • Familiarity with Git and cloud data platforms is preferred.
  • Strong problem-solving, communication, and collaboration skills.

Visa Sponsorship
Bloom Energy is unable to provide VISA sponsorship to interns or new grad hires on an F-1, J-1 or other visa for this position, regardless of CPT or OPT status.

EOE StatementBloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodation, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.

Salary Statement with pay rangeBloom Energy is committed to fair and equitable compensation practices. The total compensation for this position is based on various factors including, but not limited to, relevant skills and experience.

The pay range for this position $36 - $50 per hour.
Salary Ranges:
$36.00 - $39.00
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: RTX15165f
  • Position Id: d397e781387abaa073496c4c1ff69435
  • Posted 10 hours ago
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