Remote Machine Learning Data Analyst (ML, SQL, Python)

Sigma; Buenos Aires; A distancia; ARS 43.271.000 - 71.089.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

10 days PTO to recharge

USA Holidays

100% remote work

Descripción de la vacante

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a U.S.-based client. The role is fully remote in LATAM, offering exposure to large-scale consumer datasets and cross-functional collaboration.

The ideal candidate has solid SQL and Python skills, strong numbers sense, and can translate technical results into English summaries for stakeholders. Open to recent grads or mid-level analysts seeking deeper data manipulation experience.

Formación

• 0 to 4 years of experience in Data Analysis, Business Analytics, or similar roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills, including complex JOIN logic, aggregations, and CASE WHEN.
• Python scripting for data cleaning and processing with pandas.
• Familiarity with modeling libraries such as scikit-learn or statsmodels to build and evaluate models.
• Experience with noisy text data: cleaning, parsing, filtering, pattern matching.

Responsabilidades

• Write, optimize, and run SQL queries on relational databases and cloud data warehouses.
• Develop, run, and validate ML, predictive, or statistical matching models.
• Slice and aggregate data to compute core metrics like penetration, market share, trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review outputs and audit data for accuracy and integrity before insights.

Conocimientos

Advanced English

SQL

Python

Pandas

Data analysis

Educación

Bachelor's degree in a related field

Herramientas

scikit-learn

statsmodels

Snowflake

BigQuery

Redshift

Descripción del empleo

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a U.S.-based client. The role is fully remote in LATAM, offering exposure to large-scale consumer datasets and cross-functional collaboration.

The ideal candidate has solid SQL and Python skills, strong numbers sense, and can translate technical results into English summaries for stakeholders. Open to recent grads or mid-level analysts seeking deeper data manipulation experience.