Remote ML Analytics Engineer (SQL + Python)

Fullstack; Santa Fe Capital; A distancia; ARS 34.493.000 - 77.610.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote

International teams

Growth in SQL/Python

Descripción de la vacante

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a U.S.-based marketing analytics client. This fully remote LATAM opportunity focuses on turning large consumer datasets into actionable metrics using SQL and Python.

You will build ML models, create dashboards, and communicate insights in English to stakeholders. Entry to mid-level candidates with strong quantitative backgrounds are welcome.

Formación

• Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or related field with quantitative coursework.
• Strong SQL skills with complex joins, aggregations, and CASE WHEN.
• Python (pandas) for multi-step data transformations.
• Experience cleaning, parsing, and modeling text data.
• Excellent written and spoken English.

Responsabilidades

• 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 forecast trends.
• Slice and aggregate raw data to calculate metrics like household penetration and market share.
• Build and maintain clean data tables and views for dashboards.
• Review outputs, perform data audits, and ensure data integrity before insights.
• Translate results into clear summaries for stakeholders.
• Create data tables or views that feed dashboards and recurring reports.

Conocimientos

SQL

Python

Pandas

English communication

Data cleaning

ML model development

Educación

Bachelor's degree in a related quantitative field

Herramientas

Snowflake

BigQuery

Redshift

Descripción del empleo

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a U.S.-based marketing analytics client. This fully remote LATAM opportunity focuses on turning large consumer datasets into actionable metrics using SQL and Python.

You will build ML models, create dashboards, and communicate insights in English to stakeholders. Entry to mid-level candidates with strong quantitative backgrounds are welcome.