Remote ML & Analytics Scientist for Data Insights

Stefanini Latam; La Pampa; Remote; ARS 53,225,000 - 106,449,000; Full time

Benefits offered by this job

PTO 10 days

USA Holidays

100% remote

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. The role emphasizes turning large-scale consumer data into actionable metrics, with strong SQL and Python skills and clear English communication.

Open to a range of experience levels, from recent graduates with quantitative training to mid-level analysts seeking deeper data manipulation capabilities. Remote-friendly across LATAM and the U.S. market.

Qualifications

• Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or related field with coursework covering database management or quantitative data analysis.
• Strong SQL and Python skills with the ability to translate results to stakeholders.
• Experience working with messy text fields and pattern matching is a plus.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical models to uncover consumer behaviors and forecast trends.
• Slice, unpivot, and aggregate transactional or panel data to calculate core metrics like market share and purchasing trends.
• Build and maintain clean data tables and views for dashboards and recurring reports.
• Review outputs, perform data audits, and ensure data integrity before insights are shared.
• Translate technical results into clear written summaries for English-speaking stakeholders.

Skills

SQL

Python

English

Education

Bachelor's degree in related field

Tools

pandas

scikit-learn

statsmodels

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness measurement. The role emphasizes turning large-scale consumer data into actionable metrics, with strong SQL and Python skills and clear English communication.

Open to a range of experience levels, from recent graduates with quantitative training to mid-level analysts seeking deeper data manipulation capabilities. Remote-friendly across LATAM and the U.S. market.