Data Scientist Engineer - IT - Mercado Envios
Mercado Libre · Tulsa, OK
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Jul 13, 2026
Tulsa, OK
Jul 21, 2026
What this job asks for AI summary
A data science role focused on building, deploying, and maintaining forecasting models for shipping equipment consumption. Day-to-day work involves translating business problems into statistical and machine learning solutions — particularly time-series models — monitoring their performance in production, and contributing to team-wide technical decisions. Suits candidates with solid Python, SQL, and Git skills and hands-on experience with the full ML development lifecycle.
Senior level · Santiago, Chile
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
Rare in this occupation — lead with these, and say what you built with them.
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 (7)
This role is based in Chile (Santiago), so US compensation benchmarks do not apply.
The posting is written entirely in Spanish and targets Latin America. No specific years of experience are stated, but the scope — acting as a technical reference for the team, unblocking others, sizing tasks, and owning forecasting model lifecycle end-to-end — is consistent with a Senior-level individual contributor.
The work modality is described as hybrid ('modalidad de trabajo híbrida'), not fully remote.
No compensation range is disclosed.
Time series forecasting is explicitly called out as the primary ML domain, specifically for shipping/logistics consumption forecasting at Mercado Libre.
ML model deployment (end-to-end ML lifecycle through production) is listed as a required proficiency in the qualifications section, though no specific MLOps platform is named.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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