Remote Data Scientist: ML & Production Analytics Lead

Startups Bpo; La Pampa; A distancia; ARS 68.539.000 - 114.232.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO

USA Holidays

100% remote

Descripción de la vacante

Prometeo Talent is partnering with a U.S.-based company to hire a Data Analyst (Machine Learning) for large-scale consumer and retail datasets. This fully remote LATAM role focuses on turning raw data into clear, actionable metrics and communicating insights in English.

The ideal candidate combines SQL and Python skills (pandas), with hands-on ML experience and a strong numbers sense. Open to recent graduates through mid-level analysts with a quantitative background, in a remote LATAM

Formación

• 0–4 years in Data Analysis or related roles.
• Strong English (written and spoken).
• Solid SQL skills including JOINs, aggregations, and CASE WHEN.
• Python with pandas for data transformations.

Responsabilidades

• Write and optimize SQL queries from relational databases and data warehouses.
• Develop and validate ML, predictive, or statistical models.
• Slice and aggregate raw data to compute core metrics (e.g., market share).
• Build and maintain clean data tables and dashboards.
• Review outputs, perform data audits, ensure data integrity before insights.
• Segment data using conditional logic to track cohorts.
• Clean, parse, and categorize unstructured text data.
• Translate data insights into clear summaries for English-speaking stakeholders.

Conocimientos

SQL

Python

Pandas

English (Advanced)

Machine Learning

Data Cleaning

Data Wrangling

Educación

Bachelor's degree

Herramientas

Snowflake

BigQuery

Redshift

Descripción del empleo

Prometeo Talent is partnering with a U.S.-based company to hire a Data Analyst (Machine Learning) for large-scale consumer and retail datasets. This fully remote LATAM role focuses on turning raw data into clear, actionable metrics and communicating insights in English.

The ideal candidate combines SQL and Python skills (pandas), with hands-on ML experience and a strong numbers sense. Open to recent graduates through mid-level analysts with a quantitative background, in a remote LATAM