Remote ML Analyst: Predictive Modeling & Data Analytics

Lever, Inc.; Buenos Aires; A distancia; ARS 91.155.000 - 136.732.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Descripción de la vacante

Prometeo Talent represents Lever, Inc. in a LATAM remote search for a Data Analyst (Machine Learning). The role focuses on turning large consumer/retail datasets into actionable insights, bridging databases and business strategy, and communicating results in English.

The ideal candidate blends SQL and Python with a numbers-driven mindset and attention to detail, supporting stakeholders across international teams and varying experience levels.

Formación

• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including JOIN logic and CASE WHEN.
• Python for data cleaning and processing, with pandas.

Responsabilidades

• Write, optimize, and run SQL queries from relational databases and cloud warehouses.
• Develop, run, and validate ML, predictive, or statistical models to uncover consumer behaviors.
• Slice and aggregate raw data to calculate metrics like household penetration and market share.
• Build and maintain clean data tables and views for dashboards and reports.
• Review outputs, audit data, and verify logic to ensure data integrity.
• Use conditional logic to segment data and isolate tracking cohorts.
• Clean, parse, and categorize unstructured text data.
• Translate technical results into clear summaries for stakeholders in English.

Conocimientos

SQL

Python

English proficiency

Educación

Bachelor's degree in related field

Herramientas

Pandas

scikit-learn

statsmodels

Descripción del empleo

Prometeo Talent represents Lever, Inc. in a LATAM remote search for a Data Analyst (Machine Learning). The role focuses on turning large consumer/retail datasets into actionable insights, bridging databases and business strategy, and communicating results in English.

The ideal candidate blends SQL and Python with a numbers-driven mindset and attention to detail, supporting stakeholders across international teams and varying experience levels.