Remote Data Scientist: ML & Analytics for Market Insights

Coderio; Santa Fe Capital; Remote; ARS 68,155,000 - 113,592,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote

Job summary

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based team, focusing on large-scale consumer/retail datasets. The role emphasizes turning raw data into actionable metrics with strong SQL and Python skills, and clear stakeholder summaries in English.

Open to recent graduates or mid-level analysts, with emphasis on analytical mindset, attention to detail, and ability to translate results. Remote work across LATAM suggested.

Qualifications

• 0 to 4 years of experience in data analysis or similar roles.
• Advanced English (written and spoken).
• Foundational to intermediate SQL skills with JOINs and CASE WHEN.
• Python data cleaning and manipulation using pandas.
• Familiarity with modeling libraries such as scikit-learn or statsmodels.
• Experience handling messy text data and data normalization basics.

Responsibilities

• Write, optimize, and run SQL queries on relational databases and cloud data warehouses.
• Develop, run, and validate machine learning or statistical models to forecast trends.
• Slice, unpivot, and aggregate raw data to calculate core metrics.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review outputs and audit data for accuracy and integrity before insights.
• Use conditional logic to segment data for cohorts.
• Clean, parse, and categorize unstructured text data.
• Translate technical results into clear summaries for stakeholders in English.

Skills

Advanced English

SQL

Python (pandas)

Data analysis

Text handling

Relational DB design

Analytics

Education

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

Tools

SQL databases

Pandas

scikit-learn

Job description

Prometeo Talent seeks a Data Analyst (Machine Learning) to join a U.S.-based team, focusing on large-scale consumer/retail datasets. The role emphasizes turning raw data into actionable metrics with strong SQL and Python skills, and clear stakeholder summaries in English.

Open to recent graduates or mid-level analysts, with emphasis on analytical mindset, attention to detail, and ability to translate results. Remote work across LATAM suggested.