Remote ML Data Scientist for Marketing Analytics

Launch Potato; Rosario; Remote; ARS 90,873,000 - 136,310,000; Full time

Benefits offered by this job

100% remote

10 days PTO

USA holidays

Job summary

Prometeo Talent partners with a U.S.-based firm to hire a Data Analyst (Machine Learning) for remote LATAM work. The role focuses on turning large consumer and retail data into actionable metrics using SQL and Python, with ML modeling to forecast trends.

Open to graduates through mid-level professionals, with strong data manipulation skills and ability to present results in English to stakeholders.

Qualifications

• Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or a related field with coursework covering database management or quantitative data analysis.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOIN logic, standard aggregations, and CASE WHEN conditional logic.
• Python scripting for data cleaning, manipulation, and processing, with proficiency in pandas for complex multi-step transformations.
• Familiarity with modeling libraries such as scikit-learn or statsmodels to build and evaluate predictive or statistical matching models.

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 matching models to uncover deeper consumer behaviors and forecast trends.
• Slice, unpivot, and aggregate raw transactional or panel data to calculate core business metrics such as household penetration, market share, and purchasing trends.
• Build and maintain clean, structured data tables and views that feed into recurring tracking reports and stakeholder dashboards.
• Review query outputs, perform data audits, and double-check logic to ensure accuracy and data integrity before insights are finalized.
• Use conditional logic and filtering techniques to segment data and isolate specific tracking cohorts.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical data structures and query results into clear written summaries, bullet points, or data tables for stakeholders in English-speaking environments.

Skills

SQL

Python

Pandas

English

Education

Bachelor's degree in related field

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent partners with a U.S.-based firm to hire a Data Analyst (Machine Learning) for remote LATAM work. The role focuses on turning large consumer and retail data into actionable metrics using SQL and Python, with ML modeling to forecast trends.

Open to graduates through mid-level professionals, with strong data manipulation skills and ability to present results in English to stakeholders.