Data Science Intern | Fully Remote US at HireVue Inc
Sandy
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Jul 19, 2026
Sandy
Jul 21, 2026
What this job asks for AI summary
An internship on a data science team focused on building and validating machine learning models, developing agentic workflows, and advancing NLP and ethical AI capabilities within a hiring technology platform. Day-to-day work spans applied research, prototype development, and data preparation for deep learning systems. Best suited to a graduate student in a quantitative field with hands-on Python and ML experience.
Junior level · Remote · Bachelor's required · Internship
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 23,200 people nationally plausibly meet what this posting asks for (data scientists). range 13,900–34,800
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
This is an internship role; the title carries no seniority level, and the requirements (student-level, no experience floor) support Junior classification.
A Bachelor's degree is explicitly required; a Master's or PhD 'in progress' is the preferred credential but is not itself the minimum hard gate.
numpy, pandas, and scikit-learn are listed parenthetically as examples of 'common ML libraries' under the required Python proficiency — they are treated as hard gates on that ML library capability, not as individually separable requirements.
LLMs and generative AI (prompt engineering, fine-tuning, agentic design patterns) appear under the Preferred section.
SQL and AWS appear under the Preferred section; AWS is noted as preferred among cloud platforms, with other cloud platforms also acceptable.
No compensation figures are provided in the posting.
The posting explicitly excludes candidates in AK, HI, IA, ME, MS, NM, and WV despite being a remote-US role.
Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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