Remote ML & Data Analytics Lead (SQL/Python)

Remote; Rosario; Remote; ARS 92,241,000 - 138,361,000; Full time

Benefits offered by this job

10 days PTO

US Holidays

Remote work

Job summary

Prometeo Talent is looking for a Data Analyst (Machine Learning) to join a US-based marketing effectiveness team. You will work with large-scale consumer and retail datasets, translating raw data into clear metrics and actionable insights for English-speaking stakeholders.

The role emphasizes SQL and Python (pandas), with opportunities to build ML or statistical models, develop dashboards, and collaborate with international teams. Remote work from LATAM is supported.

Qualifications

• Bachelor’s degree in a quantitative field with coursework in databases.
• Advanced English (written and spoken).
• Solid SQL skills with JOINs and aggregations.
• Python for data cleaning and processing (pandas).
• Experience with scikit-learn or statsmodels for predictive models.
• Experience handling messy text data.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational DBs and cloud warehouses.
• Develop, run, and validate ML or statistical models to uncover consumer behaviors and forecast trends.
• Slice and aggregate raw data to compute core metrics like market share and trends.
• Build and maintain clean data tables and views for dashboards and recurring reports.
• Review outputs, perform audits, and verify logic for accuracy and integrity.
• Segment data using conditional logic to isolate tracking cohorts.
• Translate results into clear summaries for stakeholders in English.
• Collaborate with international teams on data-driven insights.

Skills

SQL

Python (pandas)

English (Advanced)

Data storytelling

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is looking for a Data Analyst (Machine Learning) to join a US-based marketing effectiveness team. You will work with large-scale consumer and retail datasets, translating raw data into clear metrics and actionable insights for English-speaking stakeholders.

The role emphasizes SQL and Python (pandas), with opportunities to build ML or statistical models, develop dashboards, and collaborate with international teams. Remote work from LATAM is supported.