Remote ML Data Analyst: Market Insights

Epam Systems; Ciudad de Mendoza; A distancia; ARS 90.873.000 - 151.455.000; Jornada completa

Descripción de la vacante

Prometeo Talent, recruiting for a U.S.-based company, seeks a Machine Learning Analyst to join a global team. The role emphasizes transforming large-scale consumer data into actionable metrics using SQL and Python, with strong emphasis on clear stakeholder communication in English.

The ideal candidate will handle data from relational databases and data warehouses, develop ML or statistical models, and translate complex results into concise summaries for business leaders.

Formación

• 0–4 years of experience in Data Analysis or related roles.
• Advanced English (written and spoken).
• Foundational to intermediate SQL skills with JOINs and CASE.
• Python scripting for data cleaning and transformations, using pandas.
• Experience with modelling libraries such as scikit-learn or statsmodels.
• Experience processing messy text fields and data parsing.
• Solid understanding of relational database design and data normalization.
• Bachelor's degree in Business Analytics, Statistics, Mathematics, CS, Economics, Marketing, or related field.

Responsabilidades

• Write, optimize, and run SQL queries from relational databases and data warehouses.
• Develop and validate ML, predictive, or statistical matching models.
• Slice, aggregate raw data to compute core metrics like market share and trends.
• Build and maintain data tables and views feeding dashboards.
• Review outputs, perform data audits, and ensure data integrity.
• Segment data using conditional logic for tracking cohorts.
• Clean and categorize unstructured text data.
• Translate data insights into clear summaries for English-speaking stakeholders.

Conocimientos

SQL

Python

English

Pandas

Scikit-learn

Text processing

Relational DB design

Educación

Bachelor's degree in related field

Descripción del empleo

Prometeo Talent, recruiting for a U.S.-based company, seeks a Machine Learning Analyst to join a global team. The role emphasizes transforming large-scale consumer data into actionable metrics using SQL and Python, with strong emphasis on clear stakeholder communication in English.

The ideal candidate will handle data from relational databases and data warehouses, develop ML or statistical models, and translate complex results into concise summaries for business leaders.