Senior ML Engineer — Remote ML Modeling & Analytics

Outlier; Buenos Aires; Remote; ARS 64,907,000 - 101,997,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote work

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based company focused on marketing effectiveness measurement. You will work with large consumer and retail datasets, translating data into actionable metrics and clear stakeholder summaries in English.

The role welcomes a range of experience levels, from recent graduates to mid-level analysts, and emphasizes SQL, Python, and ML skills in a remote, international setting.

Qualifications

• 0–4 years of experience in Data Analysis, Business Analytics, or similar roles; entry-level welcome.
• Advanced English written and spoken.
• Foundational to intermediate SQL with JOINs, aggregations, and CASE WHEN.
• Python scripting for data cleaning with pandas.
• Familiarity with scikit-learn or statsmodels for predictive models.
• Experience handling messy text fields and extracting insights.
• Understanding relational database design, keys, and normalization.

Responsibilities

• Write, optimize, and execute SQL queries from relational databases and cloud data warehouses.
• Develop and validate ML, predictive, or statistical matching models to uncover consumer behaviors.
• Slice and aggregate data to compute core metrics like market share and trends.
• Build and maintain clean data tables and views for dashboards.
• Review outputs, audit data, and ensure accuracy before insights.
• Translate technical results into clear summaries for stakeholders in English.

Skills

SQL

Python

Pandas

English

Data Analysis

Machine Learning

Text Parsing

Database Design

Education

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

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based company focused on marketing effectiveness measurement. You will work with large consumer and retail datasets, translating data into actionable metrics and clear stakeholder summaries in English.

The role welcomes a range of experience levels, from recent graduates to mid-level analysts, and emphasizes SQL, Python, and ML skills in a remote, international setting.