Remote Data Scientist — ML & Analytics

Coderio; La Pampa; Remote; ARS 90,873,000 - 136,310,000; Full time

Benefits offered by this job

Remote work (100% LATAM)

10 days PTO

USA holidays

Global teams

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a US-based client focused on marketing effectiveness measurement. The role is fully remote across LATAM, with a strong emphasis on turning raw transaction and behavioral data into actionable metrics.

The candidate should excel in SQL and Python, translate complex results into clear summaries for stakeholders in English, and adapt from recent graduates to mid-level analysts who want to deepen data manipulation skills.

Qualifications

• 0–4 years of experience in Data Analysis or similar roles; entry-level candidates welcome.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills with joins, aggregations, and CASE WHEN logic.
• Python scripting for data cleaning and processing using pandas.

Responsibilities

• Write, optimize, and execute SQL queries from relational databases and data warehouses.
• Develop and validate machine learning, predictive, or statistical models.
• Slice and aggregate data to calculate core metrics like market share and trends.
• Build and maintain data tables and views for dashboards and reports.
• Review results and ensure data integrity before insights are shared.
• Use data segmentation to analyze cohorts.
• Parse and categorize unstructured text data.
• Translate technical results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

Pandas

English

Data analysis

Education

Bachelor's degree in related field

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a US-based client focused on marketing effectiveness measurement. The role is fully remote across LATAM, with a strong emphasis on turning raw transaction and behavioral data into actionable metrics.

The candidate should excel in SQL and Python, translate complex results into clear summaries for stakeholders in English, and adapt from recent graduates to mid-level analysts who want to deepen data manipulation skills.