Remote ML Data Scientist — Adtech & RoAS

Launch Potato; La Pampa; Remote; ARS 90,836,000 - 136,254,000; Full time

Benefits offered by this job

100% remote work

10 days PTO

USA Holidays

Job summary

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a U.S.-based client focused on marketing effectiveness measurement. You will work with large consumer datasets, applying SQL and Python ML workflows to derive actionable insights for business strategy.

The role emphasizes translating technical results into clear summaries for English-speaking stakeholders, with opportunities to grow in data manipulation, modeling, and dashboards in a remote LATAM setting.

Qualifications

• Proficient in SQL with complex joins, aggregations, and CASE logic.
• Solid Python scripting for data cleaning and transformations (pandas).
• Experience building and evaluating predictive or ML models.
• Strong English communication, written and spoken.
• Bachelor’s degree in a relevant quantitative field with coursework in databases.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical models to uncover consumer behaviors and forecast trends.
• Slice and aggregate raw data to calculate core metrics like market share and trends.
• Build and maintain clean data tables and views feeding dashboards and reports.
• Review outputs, perform data audits, and verify logic for accuracy.
• Translate data structures and results into clear summaries for stakeholders in English.

Skills

SQL

Python

Pandas

English

Data analysis

Education

Bachelor's degree in Business Analytics

Tools

scikit-learn

statsmodels

Job description

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a U.S.-based client focused on marketing effectiveness measurement. You will work with large consumer datasets, applying SQL and Python ML workflows to derive actionable insights for business strategy.

The role emphasizes translating technical results into clear summaries for English-speaking stakeholders, with opportunities to grow in data manipulation, modeling, and dashboards in a remote LATAM setting.