Remote ML Analytics Engineer: SQL, Python & ML Models

Silver.Dev; Santa Fe Capital; Remote; ARS 61,494,000 - 107,614,000; Full time

Benefits offered by this job

100% remote work

PTO

US holidays

Global collaboration

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a US-based client focused on marketing effectiveness measurement. The role emphasizes translating data into actionable insights using SQL, Python, and ML techniques, with a global stakeholder audience and English communication.

You'll handle large-scale retail and consumer datasets, build models, maintain data pipelines, and create clear summaries for executives.

Qualifications

• Strong SQL skills including complex joins, aggregations, and CASE WHEN
• Python scripting for data cleaning and processing, with pandas proficiency
• Experience with ML modeling or statistical matching for insights
• Ability to handle messy text fields and translate results to non-technical stakeholders
• Bachelor's degree in Business Analytics, Statistics, Mathematics, CS, Economics, Marketing or related field with quantitative focus

Responsibilities

• Write, optimize, and run SQL queries to extract data from relational databases and cloud warehouses.
• Develop, run, and validate ML, predictive, or statistical matching models to uncover customer behaviors and forecast trends.
• Slice and aggregate raw data to compute core metrics like market share and purchasing trends.
• Build and maintain clean data tables and views for dashboards and recurring reports.
• Review outputs, audit data, and ensure data integrity before insights are shared.
• Segment data using conditional logic to isolate tracking cohorts.
• Clean, parse, and categorize unstructured text data.
• Translate technical results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

Pandas

ML basics

English proficiency

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

BigQuery

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a US-based client focused on marketing effectiveness measurement. The role emphasizes translating data into actionable insights using SQL, Python, and ML techniques, with a global stakeholder audience and English communication.

You'll handle large-scale retail and consumer datasets, build models, maintain data pipelines, and create clear summaries for executives.