Remote Data Scientist: Market Insights & ML Analytics

Coderio; La Pampa; Remote; ARS 73,793,000 - 110,689,000; Full time

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a US-based marketing effectiveness team. You will turn large consumer and retail data into actionable metrics using SQL and Python to build and validate models, then communicate results to English-speaking stakeholders.

The role welcomes recent graduates to mid-level analysts, with a strong quantitative background and interest in data manipulation. Remote-friendly LATAM collaboration and exposure to cloud warehouses are offered.

Qualifications

• 0–4 years in Data Analysis or related roles.
• Advanced English (written and spoken).
• Solid SQL with joins and CASE WHEN.
• Python for data cleaning and processing with pandas.
• Experience with unstructured text data.

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 deeper consumer behaviors and forecast trends.
• Slice, unpivot, and aggregate raw transactional data to calculate core business metrics like household penetration and market share.
• Build and maintain clean, structured data tables and views feeding recurring reports and dashboards.
• Review query outputs, perform data audits, and ensure data integrity before insights are finalized.
• Use conditional logic and filtering to segment data and isolate tracking cohorts.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical data structures and results into clear summaries for stakeholders in English.

Skills

SQL

Python

Pandas

English

Data viz

ML modeling

Data cleaning

Education

Bachelor's in Analytics

Tools

Snowflake

BigQuery

Redshift

Pandas

scikit-learn

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a US-based marketing effectiveness team. You will turn large consumer and retail data into actionable metrics using SQL and Python to build and validate models, then communicate results to English-speaking stakeholders.

The role welcomes recent graduates to mid-level analysts, with a strong quantitative background and interest in data manipulation. Remote-friendly LATAM collaboration and exposure to cloud warehouses are offered.