Remote ML Data Analyst — SQL, Python & ML

Semantix; La Pampa; A distancia; ARS 92.909.000 - 139.364.000; Jornada completa

Descripción de la vacante

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based company's global team. The role focuses on SQL-driven data extraction, ML model development, and translating insights into business-ready summaries for English-speaking stakeholders.

Ideal candidates will combine SQL and Python skills, attention to detail, and the ability to convey complex results clearly. Open to recent graduates through mid-level professionals with quantitative backgrounds.

Formación

• Bachelor's degree in a quantitative field with coursework in database management or data analysis.
• Strong SQL skills with complex JOINs and CASE WHEN logic.
• Python for data cleaning and manipulation, with pandas.
• Experience with unstructured text data and data normalization.
• Fluent English, both written and spoken.

Responsabilidades

• Write, optimize, and execute SQL queries on relational databases and data warehouses.
• Develop and validate ML or statistical models to reveal consumer insights.
• Aggregate and index raw data into core business metrics.
• Maintain clean data tables and dashboards for stakeholders.
• Audit query outputs and ensure data integrity before reporting.
• Translate results into clear summaries for English-speaking stakeholders.

Conocimientos

SQL

Python

Pandas

Advanced English

Machine Learning

Educación

Bachelor's degree

Herramientas

Snowflake

BigQuery

Redshift

scikit-learn

Descripción del empleo

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join a U.S.-based company's global team. The role focuses on SQL-driven data extraction, ML model development, and translating insights into business-ready summaries for English-speaking stakeholders.

Ideal candidates will combine SQL and Python skills, attention to detail, and the ability to convey complex results clearly. Open to recent graduates through mid-level professionals with quantitative backgrounds.