Remote AI/ML Full-Stack Engineer

Improving South America; Santa Fe Capital; Remote; ARS 64,907,000 - 101,997,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote

Job summary

Prometeo Talent is sourcing a Data Analyst (Machine Learning) for a remote LATAM role geared toward transforming large-scale consumer data into actionable insights. The candidate will leverage SQL and Python to extract, model, and summarize findings for business stakeholders in English.

The role welcomes recent graduates with quantitative backgrounds through mid-level professionals who can manipulate complex data and build dashboards. A strong numbers sense and attention to detail are essential.

Qualifications

• Solid SQL and Python skills with ability to process large datasets.
• Strong English communication, both written and spoken.
• Bachelor's degree in a quantitative field with coursework in databases or analytics.
• 0–4 years in Data Analysis, Business Analytics, or related roles; entry to mid-level acceptable.

Responsibilities

• Write, optimize, and run SQL queries on relational databases and cloud warehouses.
• Develop and validate machine learning or statistical models for consumer insights.
• Process and summarize data into clear metrics and dashboards for stakeholders.
• Prepare clean data tables and views for recurring reports and analyses.
• Translate technical results into concise summaries for English-speaking audiences.

Skills

SQL

Python

English

Data manipulation

Education

Bachelor's degree in Analytics/CS

Tools

Pandas

scikit-learn

Snowflake

BigQuery

AzureSQL

Job description

Prometeo Talent is sourcing a Data Analyst (Machine Learning) for a remote LATAM role geared toward transforming large-scale consumer data into actionable insights. The candidate will leverage SQL and Python to extract, model, and summarize findings for business stakeholders in English.

The role welcomes recent graduates with quantitative backgrounds through mid-level professionals who can manipulate complex data and build dashboards. A strong numbers sense and attention to detail are essential.