STEM OPT Data Science Intern Jobs
Data Science Intern roles qualify for STEM OPT when your degree falls under an eligible CIP code in statistics, computer science, or a related STEM field. Your employer must be enrolled in E-Verify, and the 24-month STEM OPT extension gives you up to 36 months total to build hands-on data science experience while on F-1 status.
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INTRODUCTION
Infrastructure Solutions Group (ISG)
ISG builds the products that power infrastructure, solutions, and data management our customers need most. Our teams design and develop the hardware and software that connect infrastructure, accelerate computational workloads, integrate across the stack, protect data continuity, and deliver the platforms, applications, and diagnostics our customers rely on every day at enterprise scale.
Some product builders follow the rules. Ours rewrite them.
Within ISG, innovation isn't just about creating new technology — it's about challenging assumptions and reimagining how work gets done. Engineers define intent, author precise specifications, and orchestrate AI agents that execute at speed and scale. AI is embedded throughout our development process, helping us move faster, learn quicker, and deliver greater impact. Yet the most important contribution remains uniquely human: deciding what to build, designing how it should work, and applying the judgment needed to earn our customers' trust. When your products power critical infrastructure around the world, that responsibility matters.
We move quickly toward the work that matters most. We reward experimentation, encourage bold thinking, and remove unnecessary barriers so great ideas can become reality faster. Our teams embrace a customer-first, first-to-market mindset, transforming rapid feedback into better products and better outcomes. We aren't looking for people who are content with the status quo — we look for builders who question it, improve it, and occasionally rewrite it.
If you're energized by solving complex systems challenges, excited to work alongside AI to amplify your impact, and motivated by the opportunity to shape what's next instead of simply maintaining what's been done before, you'll find your place here.
Join us and help build the future of enterprise technology as an Engineer I: Materials and Chemistry Engineer — Liquid Cooling on our Mechanical Engineering team in Round Rock, Texas.
Why Work with Us
Dell Technologies is expanding advanced liquid cooling technologies to enable the next generation of high-performance and sustainable data center solutions. We are seeking an Engineer I - Materials and Chemistry Engineer who thrives in a lab environment and is eager to get hands-on with the science behind our cooling technology. This is an entry-level role designed for someone who wants to spend the majority of their time at the bench — running experiments, operating analytical instruments, preparing samples, collecting data, and generating the results that drive engineering decisions across multiple liquid cooling programs.
You won't be sitting behind a desk all day. You'll be in the lab doing the essential, detailed scientific work that keeps our projects moving forward.
What You'll Achieve
As an Engineer I: Materials and Chemistry Engineer — Liquid Cooling, you will be embedded across multiple liquid cooling projects, executing the hands-on laboratory testing and analysis that forms the foundation of Dell Technologies' materials strategy. Working alongside senior engineers and cross-functional teams, you will generate the data, perform the experiments, and carry out the characterization work that directly informs product design, material selection, and reliability decisions.
You will:
- Perform daily laboratory work including sample preparation, instrument setup, test execution, data collection, and post-test analysis across multiple concurrent projects
- Operate and maintain analytical instruments such as FTIR, UV-Vis, HPLC, GC, MS, IC, SEM/EDS, XRD, XPS, ICP, and electrochemical testing equipment
- Conduct materials characterization on metals, polymers, elastomers, composites, coatings, and coolant fluids to evaluate compatibility, degradation, and performance over time
- Support failure analysis and root-cause investigations by performing detailed examination of field-return and test samples, documenting observations, and delivering findings to senior engineers
- Collaborate with mechanical, thermal, and reliability engineers by providing timely lab results, flagging anomalies, and translating raw data into clear summaries that inform design and specification decisions
Take the first step towards your dream career.
Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:
Essential Requirements
- 0–2 years of experience (including internships, co-ops, or academic research) in chemical analysis, materials characterization, or a related laboratory environment
- Hands-on experience operating one or more of the following analytical techniques: Fourier Transform Infrared Spectroscopy (FTIR), UV-Vis Spectroscopy, High-Performance Liquid Chromatography (HPLC), Gas Chromatography (GC), Mass Spectrometry (MS), Ion Chromatography (IC), Scanning Electron Microscopy with Energy-Dispersive X-ray Spectroscopy (SEM/EDS), X-ray Diffraction (XRD), X-ray Photoelectron Spectroscopy (XPS), Inductively Coupled Plasma (ICP), electrochemical analysis, or similar
- Foundational understanding of corrosion mechanisms, coolant chemistry, fluid/material compatibility, coatings, and surface-treatment methods
- Strong attention to detail and commitment to accurate, repeatable data collection and thorough documentation
- Comfort working in a lab environment for the majority of the workday, including handling chemicals, operating equipment, and following safety procedures
- Effective communication skills — ability to clearly summarize lab findings in written reports and verbal updates to project teams
- Ability to support multiple projects simultaneously, managing priorities and maintaining organized records across concurrent test programs
Desirable Requirements
- Bachelor’s degree in chemistry, Materials Science & Engineering, Chemical Engineering, Mechanical Engineering, or a closely related field
- Academic or professional research experience involving long-duration materials exposure, accelerated aging, or environmental testing
- Background in or exposure to direct-to-chip liquid cooling, metallurgical principles, or metal-joining methods (e.g., welding, brazing, soldering)
- Familiarity with laboratory information management systems (LIMS) or structured data management tools
- Experience with standard sample preparation techniques: metallographic mounting, polishing, cross-sectioning, and microscopy
- Coursework or project experience related to polymer degradation, electrochemistry, or surface science
- A genuine curiosity about how materials behave in real-world systems and a desire to grow into a materials engineering career
Compensation
Dell is committed to fair and equitable compensation practices. The pay range for this position is $85,502-$110,649.
Benefits and Perks of working at Dell Technologies
Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com.
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Get Access To All JobsTips for Finding STEM OPT Authorization as a Data Science Intern
Verify your CIP code before applying
Check your degree's Classification of Instructional Programs code against the STEM OPT designated degree list before you apply anywhere. Degrees in statistics, data science, computer science, and applied mathematics typically qualify, but the exact CIP code on your transcript determines eligibility, not the program name.
Confirm E-Verify enrollment before accepting offers
Ask every internship recruiter whether the company is enrolled in E-Verify before your first interview. You can cross-check employer status through the E-Verify employer search tool. An offer from a non-enrolled employer means you cannot use your STEM OPT extension, even if the role is a perfect fit.
Build a portfolio around production-ready data pipelines
Data science intern hiring managers at E-Verify-enrolled companies often screen for applied ML or SQL work, not just academic projects. GitHub repositories showing end-to-end pipelines from raw data to model deployment signal the production-environment experience that justifies training plan approval under STEM OPT.
Use Migrate Mate to target STEM OPT-ready employers
Search Migrate Mate for data science internships filtered by employers already set up for STEM OPT work authorization. This cuts time spent on companies that have no infrastructure for E-Verify enrollment or structured training plans, which are both required before your extension activates.
Draft your I-983 training plan before your start date
Your DSO must submit the I-983 to USCIS before you begin working under the STEM OPT extension. Work with your employer's HR team to document specific learning objectives tied to your data science role, including tools, methodologies, and measurable outcomes, so the plan satisfies SEVP requirements on the first submission.
Apply 90 days before your OPT EAD expires
USCIS recommends filing the STEM OPT extension application at least 90 days before your initial OPT EAD end date. Filing within that window keeps your work authorization continuous even if USCIS hasn't approved the extension yet, protecting your ability to stay in your internship without a gap.
Frequently Asked Questions
Does a Data Science Intern role qualify for the STEM OPT extension?
Yes, if your underlying degree carries an eligible CIP code in a STEM field such as statistics, computer science, mathematics, or data science, and the internship provides direct training in that field. The role itself must relate to your degree, and your DSO must approve the I-983 training plan before the extension activates. Check your transcript's CIP code against the STEM designated degree list maintained by USCIS to confirm eligibility.
Does my employer need to be in E-Verify for a data science internship on STEM OPT?
Yes, E-Verify enrollment is a hard requirement for any employer hiring on the STEM OPT extension, including internships. There are no exceptions for startups, research labs, or short-term internship programs. Before signing an offer letter, ask HR to confirm their E-Verify employer ID. If the company isn't enrolled, you cannot use your 24-month extension with them, regardless of role fit. Migrate Mate surfaces employers already set up for STEM OPT hiring.
What goes into the I-983 training plan for a data science internship?
The I-983 must describe the specific training objectives tied to your STEM degree, the data science skills and tools you'll develop, the name and title of your on-site supervisor, and how your employer will provide structured oversight. For data science roles this typically includes work with machine learning frameworks, statistical modeling, or data engineering pipelines. Your employer signs the form, and your DSO submits it to USCIS. Vague or generic plans are frequently returned for revision, so detail matters.
What happens to my STEM OPT if my data science internship is converted to a full-time role?
Your STEM OPT extension remains valid as long as the new full-time role still relates to your STEM degree and the employer stays E-Verify enrolled. You'll need to update your I-983 training plan to reflect the change in role scope, hours, and objectives, and your DSO must be notified within five days of the material change. If your employer later files for H-1B visa sponsorship, cap-gap protections can bridge your status through October 1 of the fiscal year following selection.
Can I do a remote data science internship on STEM OPT?
Remote work is permitted under STEM OPT, but the employer must still be E-Verify enrolled, and your I-983 training plan must accurately reflect the remote work arrangement. SEVP requires your employer to provide bona fide supervision and structured training regardless of location. If you relocate to a different state for the remote role, notify your DSO so your SEVIS record reflects the correct address. Some employers list remote data science internships on Migrate Mate with STEM OPT authorization already confirmed.