Remote ML Engineer - GenAI, MLOps & Data Quality

Anyone Ai Inc.; Santa Fe Capital; Remote; ARS 90,873,000 - 136,310,000; Full time

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing effectiveness team. Role focuses on turning large-scale consumer datasets into actionable metrics using SQL and Python, with stakeholder-ready summaries in English.

Open to recent grads or mid-level analysts, the position emphasizes data manipulation, clean data pipelines, and cross-functional collaboration in an entirely remote LATAM setup.

Qualifications

• 0 to 4 years of experience in Data Analysis or similar roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills with JOINs and CASE WHEN.
• Python for data cleaning and processing, with pandas.
• Experience with modeling libraries such as scikit-learn or statsmodels.
• Experience handling messy text fields and data normalization.
• Bachelor's degree in Business Analytics, Statistics, Mathematics, CS, Economics, Marketing, or related field.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud warehouses.
• Build, run, and validate machine learning, predictive, or statistical models to forecast trends.
• Slice, unpivot, and aggregate raw data to calculate core metrics like market share and penetration.
• Create and maintain clean data tables and views that feed dashboards and reports.
• Review query outputs, perform data audits, and ensure data integrity before insights.
• Translate technical results into clear summaries for stakeholders in English.

Skills

SQL

Python (pandas)

English (Advanced)

Data analysis

Modeling (ML)

Education

Bachelor's degree in Business Analytics, Statistics, Mathematics, CS, Economics, Marketing, or related

Tools

pandas

scikit-learn

SQL Databases

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based marketing effectiveness team. Role focuses on turning large-scale consumer datasets into actionable metrics using SQL and Python, with stakeholder-ready summaries in English.

Open to recent grads or mid-level analysts, the position emphasizes data manipulation, clean data pipelines, and cross-functional collaboration in an entirely remote LATAM setup.