Senior ML & Data Analytics Engineer - Remote

Improving South America

Santa Fe Capital

Remote

ARS 61,494,000 - 107,614,000

Full time

48 hours ago
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Benefits offered by this job

10 days PTO
USA Holidays
100% remote

Job summary

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a U.S.-based client. Expect to work with large consumer/retail datasets, writing SQL, and building ML models to uncover insights.

Open to recent graduates or mid-level analysts with strong math background. Requires solid English, data manipulation in Python/pandas, and ability to present results clearly in English. 100% remote across LATAM.

Qualifications

  • Bachelor's degree in a quantitative field with coursework in databases or analytics.
  • Strong SQL and Python experience for data extraction and cleaning.
  • Experience with ML libraries (scikit-learn) and model evaluation.
  • Ability to translate results into clear business summaries in English.

Responsibilities

  • Write, optimize, and run SQL queries against relational databases and data warehouses.
  • Develop and validate ML, predictive, or statistical models to forecast trends.
  • Slice, aggregate, and summarize data to compute market metrics and shares.
  • Build clean data tables and views feeding dashboards and reports.
  • Audit query results and ensure data integrity before insights are shared.
  • Translate technical findings into concise English summaries for stakeholders.

Skills

SQL
Python
Pandas
English
Data analysis
Data cleaning
ML modeling
Pattern matching

Education

Bachelors in related field

Tools

Snowflake
BigQuery
Redshift

Job description

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a U.S.-based client. Expect to work with large consumer/retail datasets, writing SQL, and building ML models to uncover insights.

Open to recent graduates or mid-level analysts with strong math background. Requires solid English, data manipulation in Python/pandas, and ability to present results clearly in English. 100% remote across LATAM.

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