San Francisco, CA

Salary
Posted
Jun 28, 2026
Location
San Francisco, CA
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

An unpaid educational internship on a data team, suited to students currently enrolled in a quantitative degree program. Day-to-day work spans data cleaning, exploratory analysis, contributing to machine learning model development, and building dashboards. Interns collaborate with data scientists, engineers, and product staff, and are expected to document their work and participate in team discussions.

Junior level · National · Internship

Nice to have (2)
machine learningdata visualization

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

What won't set you apart
Machine Learning80%Data Visualization55%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $120,230 (middle half $85,660–$158,880).

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 (6)

This is explicitly an unpaid internship, with no compensation offered.

No specific tools, languages, or frameworks are named anywhere in the posting — the responsibilities describe general data science tasks (EDA, ML model support, dashboards) but name no concrete technologies (e.g. Python, SQL, Tableau). The three skills extracted reflect the functional areas described; all are marked preferred since no hard technology gates are stated.

The degree requirement is listed as 'currently pursuing' a Bachelor's or Master's — this is an enrollment requirement for an internship, not a completed-degree gate, so the degree requirement is set to None.

No work location is specified beyond the company's general U.S. expansion context; CBSA and state are left blank.

Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): exploratory data analysis.

Posting is for a internship engagement — the market benchmarks below price full-time roles, so read the comp comparison with that in mind.

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