Remote ML Data Scientist: Marketing Analytics

Launch Potato; Ciudad de Mendoza; Remote; ARS 900,000 - 1,500,000; 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 our client, a U.S.-based marketing effectiveness company. This remote LATAM role targets analysts who can turn large consumer and retail datasets into actionable metrics using SQL and Python.

The ideal candidate has solid SQL and Python skills, attention to detail, and the ability to translate technical results into clear summaries for English-speaking stakeholders. Open to recent graduates through mid-level analysts.

Qualifications

• 0 to 4 years of experience in Data Analysis or similar roles.
• Advanced English level, written and spoken.
• Proficient SQL with JOINs, aggregations, and CASE WHEN.
• Python with pandas for multi-step transformations.
• Experience handling messy text fields and data normalization.
• Bachelor's degree in a related field with quantitative coursework.

Responsibilities

• Write, optimize, and run SQL queries on relational databases and cloud data warehouses.
• Develop and validate machine learning, predictive, or statistical models to forecast trends.
• Aggregate and pivot raw data to calculate core metrics like market share.
• Create clean data tables and dashboards for stakeholders.
• Audit query results and ensure data integrity before insights are delivered.
• Segment data using conditional logic to track cohorts.
• Parse and categorize unstructured text data.
• Translate technical results into clear summaries for stakeholders in English.

Skills

SQL

Python

Pandas

English

Data analysis

Education

Bachelor's degree in a related field

Tools

scikit-learn

statsmodels

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client, a U.S.-based marketing effectiveness company. This remote LATAM role targets analysts who can turn large consumer and retail datasets into actionable metrics using SQL and Python.

The ideal candidate has solid SQL and Python skills, attention to detail, and the ability to translate technical results into clear summaries for English-speaking stakeholders. Open to recent graduates through mid-level analysts.