Remote ML Analyst & Data Insights

YO AI Labs; Ciudad de Mendoza; A distancia; ARS 92.724.000 - 139.086.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

USA Holidays

100% remote

Descripción de la vacante

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client’s global team. The role emphasizes SQL, Python, and turning raw data into actionable metrics for business decisions.

We welcome recent graduates through mid-level analysts with a quantitative background. The ideal candidate will handle large consumer/retail datasets, translate results into clear summaries, and communicate in English.

Formación

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles; entry-level or mid-level accepted.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills with joins, aggregations, and CASE WHEN logic.
• Python for data cleaning and manipulation, with pandas for multi-step transformations.
• Familiarity with scikit-learn or statsmodels for predictive or statistical models.
• Experience with messy text fields: cleaning, parsing, pattern matching.

Responsabilidades

• Write, optimize, and run SQL queries to extract data from relational databases and cloud warehouses.
• Develop and validate ML, predictive, or statistical matching models.
• Slice and aggregate data to compute metrics like household penetration and market share.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review outputs for accuracy and data integrity before insights.
• Use conditional logic to segment data and track cohorts.
• Parse and categorize unstructured text data.
• Translate results into clear summaries for English-speaking stakeholders.

Conocimientos

SQL

Python

English

Data analysis

Data cleaning

Educación

Bachelor's degree in Business Analytics/Statistics/CS/Math

Herramientas

Pandas

scikit-learn

SQL tools

Descripción del empleo

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client’s global team. The role emphasizes SQL, Python, and turning raw data into actionable metrics for business decisions.

We welcome recent graduates through mid-level analysts with a quantitative background. The ideal candidate will handle large consumer/retail datasets, translate results into clear summaries, and communicate in English.