Uruguayremote

Salary
—
Posted
Aug 17, 2026
Location
Uruguay
Last confirmed open
Sep 24, 2026

What this job asks for AI summary

A senior-level, fully remote data science role embedded with an international client of a software consultancy. The position spans the full ML lifecycle — from problem framing and feature engineering through model development, production deployment, and ongoing monitoring — while also providing technical leadership, mentoring, and strategic input on data science practices. It suits an experienced practitioner comfortable working hands-on in Python and AWS alongside cross-functional business and engineering stakeholders.

Senior level · 6+ years · Remote

Quick apply — this platform usually takes a CV and a few fields.

Must have (4)
PythonPandas, NumPy or scikit-learnAWSSQL
Nice to have (10)
SageMakerRedshiftLambdaEMRMLOpsSparkDockerKubernetesLLMsRAG

“or” means any one of them counts — you don't need all of them.

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 5,200 people nationally plausibly meet what this posting asks for (data scientists). range 3,150–7,800

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
Python88%Pandas72%SQL72%

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 Aug 20, 2026. It is a model, not a headcount.

Why we read it this way (4)

No work location or country is specified beyond '100% remote' and 'international clients'; the role could be based anywhere. The US-based flag defaulted to true per instructions, but the hiring pool is likely global.

Pandas, NumPy, and Scikit-learn are listed together as interchangeable examples of required ML libraries; Pandas is used as the primary name with the others as alternatives.

The alternative occupation code (15-1243) reflects a secondary read of the role as a data/ML architecture position, but the primary day-to-day work is clearly data science modeling, making 15-2051 the right fit.

No compensation is mentioned in the posting.

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