Remote MLOps & ML Analytics Engineer

Fullstack; Santa Fe Capital; Remote; ARS 46,362,000 - 64,907,000; Full time

Benefits offered by this job

100% remote work

10 days PTO

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client’s global team. You will write SQL, build ML models, and translate results into clear summaries for stakeholders in English.

This 100% remote role welcomes candidates across LATAM with strong Python/pandas, SQL, and data storytelling skills. Entry to mid-level applicants are encouraged; you will work with large-scale consumer datasets to measure marketing effectiveness.

Qualifications

• Bachelor's degree in Business Analytics, Statistics, Mathematics, CS, Economics, Marketing, or related field.
• Strong SQL and Python skills with pandas.
• Experience cleaning, parsing, and organizing data and understanding relational databases.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning or statistical models to uncover consumer behaviors and trends.
• Slice and aggregate data to calculate core metrics like market share and purchasing trends.
• Build and maintain data tables and dashboards for recurring reports.
• Review outputs, audit data, and ensure accuracy before presenting insights.
• Translate results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

English (Advanced)

Education

Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or related field

Tools

pandas

scikit-learn

statsmodels

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client’s global team. You will write SQL, build ML models, and translate results into clear summaries for stakeholders in English.

This 100% remote role welcomes candidates across LATAM with strong Python/pandas, SQL, and data storytelling skills. Entry to mid-level applicants are encouraged; you will work with large-scale consumer datasets to measure marketing effectiveness.