Remote ML Analytics Engineer

Unavailable; Santa Fe Capital; Remote; ARS 61,494,000 - 107,614,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote

Global teams

Data-driven projects

Skill development in SQL, Python, ML

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness. The role targets handling large-scale consumer and retail datasets, turning raw data into actionable metrics and clear stakeholder summaries in English.

You’ll combine SQL and Python with ML techniques, translating complex outputs into concise briefs while collaborating with international teams. Open to recent graduates through mid-level professionals.

Qualifications

• Bachelor's degree in a quantitative field with coursework in databases.
• Strong SQL and Python experience.
• Experience cleaning, parsing, and structuring messy text data.

Responsibilities

• Write, optimize, and execute SQL queries from relational databases and data warehouses.
• Develop and validate machine learning or statistical models to forecast trends.
• Calculate core metrics like household penetration, market share, and purchasing trends.
• Build and maintain clean data tables and views for dashboards and reports.
• Audit query outputs and ensure data integrity before insights are shared.
• Use filtering to segment data and isolate tracking cohorts.
• Parse and categorize unstructured text data for analysis.
• Translate technical results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

Pandas

English

Data Modeling

Data Cleaning

Text Processing

Education

Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or related field

Tools

scikit-learn

statsmodels

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based client focused on marketing effectiveness. The role targets handling large-scale consumer and retail datasets, turning raw data into actionable metrics and clear stakeholder summaries in English.

You’ll combine SQL and Python with ML techniques, translating complex outputs into concise briefs while collaborating with international teams. Open to recent graduates through mid-level professionals.