Senior ML Analytics Engineer — Remote

Kavak; La Pampa; Teletrabalho; ARS 60 582 000 - 109 048 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

10 days PTO

USA Holidays

100% remote

Resumo da oferta

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. The role emphasizes turning large-scale consumer and retail data into actionable metrics using SQL, Python, and ML techniques.

The ideal candidate has solid SQL and Python skills, strong attention to detail, and can translate complex results into concise English summaries for stakeholders. Open to fresh graduates with quantitative backgrounds and mid-level analysts seeking growth.

Qualificações

• 0–4 years in Data Analysis/Business Analytics or similar roles.
• Advanced English (written and spoken).
• Foundational to intermediate SQL skills with JOINs, aggregations, and CASE WHEN.
• Python scripting for data cleaning and processing, with pandas.

Responsabilidades

• 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 matching models to uncover consumer behaviors and forecast trends.
• Slice and aggregate data to calculate core metrics like household penetration, market share, and purchasing trends.
• Build and maintain clean data tables and views feeding reports and dashboards.
• Review results, audit data, and ensure accuracy before insights are shared.
• Translate results into clear summaries for stakeholders in English.

Conhecimentos

SQL

Machine Learning

Data Analysis

English Proficiency

Formação académica

Bachelor's degree in Business Analytics/Statistics/Math/CS/Economics/Marketing or related field

Ferramentas

Python

Pandas

scikit-learn

Descrição da oferta de emprego

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. The role emphasizes turning large-scale consumer and retail data into actionable metrics using SQL, Python, and ML techniques.

The ideal candidate has solid SQL and Python skills, strong attention to detail, and can translate complex results into concise English summaries for stakeholders. Open to fresh graduates with quantitative backgrounds and mid-level analysts seeking growth.