remote

Salary
Posted
Jul 16, 2026
Location
Last confirmed open
Jul 21, 2026

What this job asks for AI summary

An entry-level data science role focused on building and supporting data-driven solutions alongside experienced engineering teams. Day-to-day work involves cleaning and analyzing datasets, developing models and algorithms, applying machine learning and statistical methods, and contributing to the design and testing of digital products. Suited to early-career candidates with foundational knowledge in programming, data analysis, and machine learning concepts.

Junior level · Remote

Must have (4)
Python or RSQLmachine learningstatistical analysis
Nice to have (1)
data visualization

“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 36,700 people nationally plausibly meet what this posting asks for (data scientists). range 22,000–55,000

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.

What won't set you apart
Python88%machine learning80%SQL72%statistical analysis60%

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 (6)

The posting is sourced through Jobgether on behalf of an unnamed partner company; the actual employer, team context, and tech stack are not disclosed, which limits specificity in skill extraction.

The degree requirement is listed as an 'educational background in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related technical field' — framed as background context rather than a hard gate, and no specific degree level is mandated, so degree requirement is treated as None.

Programming languages are listed in the Requirements section as 'Python, R, SQL, or similar technologies' — Python and SQL are captured as hard gates (with R as an alternative to Python); the open-ended 'or similar' reflects substitutability of the specific language, not optionality of the requirement.

Data visualization and analytical tooling appear in the Requirements section but only as 'familiarity with' — treated as preferred rather than a hard gate.

No compensation, employment type, or specific technology stack beyond the languages mentioned is disclosed in the posting.

Caller marked this a fully-remote role — scored against the national candidate pool.

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