Remote ML Analyst: Data Quality & MLOps

Anyone Ai Inc.; Buenos Aires; Teletrabalho; ARS 92 724 000 - 139 086 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

10 days PTO

USA holidays

100% remote work

Resumo da oferta

Prometeo Talent is partnering with a U.S.-based company to hire a Data Analyst (Machine Learning) for 100% remote work across LATAM. The role focuses on large-scale consumer and retail datasets, translating data into actionable metrics.

Strong SQL and Python skills, plus English fluency, are essential for communicating insights to stakeholders. Ideal candidates range from recent grads with quantitative coursework to mid-level analysts seeking to deepen data manipulation and modeling skills.

Qualificações

• Bachelor's degree in analytics, statistics, CS, economics, or related field.
• Strong SQL skills with complex joins and aggregations.
• Python scripting and data manipulation using pandas.
• Experience with ML libraries for predictive modeling is a plus.
• Experience cleaning, parsing, and modeling messy text data.

Responsabilidades

• Write, optimize, and execute SQL queries on relational databases and data warehouses.
• Develop and validate ML models to uncover consumer insights and trends.
• Transform raw data into clean tables and recurring dashboards for stakeholders.
• Audit data outputs and ensure accuracy before reporting.
• Translate technical results into clear summaries for English-speaking teams.

Conhecimentos

SQL

Python

English

Data analysis

Machine learning basics

Formação académica

Bachelor's degree in analytics/computer science/related field

Ferramentas

pandas

scikit-learn

statsmodels

SQL databases

Descrição da oferta de emprego

Prometeo Talent is partnering with a U.S.-based company to hire a Data Analyst (Machine Learning) for 100% remote work across LATAM. The role focuses on large-scale consumer and retail datasets, translating data into actionable metrics.

Strong SQL and Python skills, plus English fluency, are essential for communicating insights to stakeholders. Ideal candidates range from recent grads with quantitative coursework to mid-level analysts seeking to deepen data manipulation and modeling skills.