Data Science Intern – Device Characterization (Spring 2027)

Posted 2 Days Ago
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Perrysburg, OH, USA
In-Office
22-25 Hourly
Internship
Energy • Solar • Renewable Energy
The Role
Build Python data pipelines for automated perovskite solar panel characterization. Extract electrical performance metrics from raw J-V data, classify device anomalies, generate pass/fail reports, and correlate electroluminescence image metrics with IV performance. The intern will establish panel screening criteria, document results, collaborate with an engineer mentor, and present project accomplishments to leadership.
Summary Generated by Built In

Basic Job Scope:

  • Leading the world’s sustainable energy future, First Solar interns work around the globe/country in research and development, marketing, project development, information technology, engineering, energy services and much more. When you work at First Solar, you will be challenged every day and provided real world experience. You will be given the opportunity to find new solutions and develop new skills to further advance your skillset. At First Solar we strive to foster a culture that encourages innovation through collaboration, urging colleagues to take smart risks, learning from failures and course correcting, and owning personal accountability for contributing to our mission.

Expected Length of Internship: 

  • 6 months, spanning the Spring/Summer or Summer/Fall semesters (minimum length needed to complete both phases of the project scope below).

  • As an internship company, we allow flexibility to enroll in classes while working as an intern, as long as it doesn’t interfere with the essential functions of the position.

     

Education/Experience:

  • Currently pursuing a Bachelor's or Master's degree in Physics, Electrical Engineering, Materials Science, or Data Science; upper-level undergraduate (junior/senior) or graduate student.

  • Proficiency in Python for data analysis (pandas, numpy, scipy).

  • Working knowledge of solar cell J-V characteristics (Voc, Jsc, FF, PCE, Rs, Rsh), photoluminescence (PL) or electroluminescence (EL) for semiconductor device characterization, image analysis, curve-fitting or anomaly-detection methods, or basic machine learning.

  • First Solar encourages all interns to register their internship with their university.

     

Required Skills/Competencies:

  • Python data analysis (pandas, numpy, scipy, matplotlib); understanding of PV device physics and common J-V curve anomalies (hysteresis, S-kink, shunting); basic image-analysis or statistical-correlation techniques; strong documentation and communication skills to work effectively with an engineer mentor.

Basic Internship Scope (Project):

  • The intern will build data pipelines that automate device characterization for perovskite panels, working alongside an engineer mentor with access to historical IV data, an image/performance library, and a workstation, internal server, or cloud compute access.

  • Major project – Automated Device Characterization Pipeline: Months 1–3, build a Python pipeline that auto-extracts Voc, Jsc, FF, PCE, Rs, and Rsh from raw J-V files and classifies anomalies (hysteresis, S-kink, shunting, poor fill factor), delivering the pipeline plus an automated pass/fail report template. Months 4–6, extend the pipeline to assess YS300 EL images and correlate image-derived metrics with reverse-scan IV metrics, establishing go/no-go screening criteria for panels entering finishing. This standardizes anomaly classification across the team and lays the groundwork for pre-finishing panel screening that reduces BOM losses.

  • Upon the completion of this internship, the intern is required to present their accomplishments and project summary to the leadership team.

Estimated Salary Range:

  • $22-$25/hr.

US Physical Requirements:

Office Physical Requirements:

All positions in our office require interaction with people and technology while either standing or sitting. To best service our customers, internal and external, all associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation. First Solar is committed to compliance with its obligations under all applicable state and federal laws prohibiting employment discrimination. In keeping with this commitment, it attempts to reasonably accommodate applicants and employees in accordance with the requirements of the disability discrimination laws. It also invites individuals with disabilities to participate in a good faith, interactive process to identify reasonable accommodations that can be made without imposing an undue hardship.

Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required.

Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

 

Skills Required

  • Currently pursuing a Bachelor's or Master's degree in Physics, Electrical Engineering, Materials Science, or Data Science.
  • Upper-level undergraduate junior or senior student, or graduate student.
  • Proficiency in Python for data analysis using pandas, NumPy, and SciPy.
  • Working knowledge of solar cell J-V characteristics, including Voc, Jsc, FF, PCE, Rs, and Rsh.
  • Knowledge of photoluminescence or electroluminescence for semiconductor device characterization.
  • Experience or knowledge in image analysis, curve fitting, anomaly detection, or basic machine learning.
  • Understanding of common photovoltaic device anomalies, including hysteresis, S-kink, shunting, and poor fill factor.
  • Basic image-analysis or statistical-correlation techniques.
  • Strong documentation and communication skills for working effectively with an engineer mentor.
  • Ability to present internship accomplishments and project results to leadership.

First Solar Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about First Solar and has not been reviewed or approved by First Solar.

  • Retirement Support — A 401(k) with a company match is included as part of a comprehensive rewards package referenced across career materials and postings. Retirement benefits are positioned alongside core medical coverage and tuition assistance as standard offerings.
  • Parental & Family Support — Paid parental leave is highlighted in recruiting and corporate materials, providing defined paid time away for new parents. The inclusion of paid parental leave strengthens the family support baseline for U.S. manufacturing roles.
  • Strong & Reliable Incentives — Annual and attendance bonuses and overtime opportunities are featured at certain manufacturing sites. Predictable crew schedules with built-in overtime further reinforce earnings potential in those roles.

First Solar Insights

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The Company
HQ: Tempe, AZ
3,661 Employees
Year Founded: 1991

What We Do

First Solar is a leading American solar technology company and global provider of responsibly produced eco-efficient solar modules advancing the fight against climate change. Developed at R&D labs in California and Ohio, the company’s advanced thin film photovoltaic (PV) modules represent the next generation of solar technologies, providing a competitive, high-performance, lower-carbon alternative to conventional crystalline silicon PV panels. From raw material sourcing and manufacturing through end-of-life module recycling, First Solar’s approach to technology embodies sustainability and a responsibility towards people and the planet.

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