Remote Machine Learning Data Analyst

TalentCross; La Pampa; Teletrabalho; ARS 92 241 000 - 138 361 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

10 days PTO

100% remote work

USA holidays

Resumo da oferta

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a 100% remote LATAM role. The candidate will work with large consumer datasets, write SQL queries, and build ML models to derive actionable metrics. Excellent English communication is required to translate technical results for stakeholders.

Open to recent graduates or mid-level analysts with strong quantitative backgrounds. SQL, Python (pandas), and ML libraries are essential, with familiarity in cloud data warehouses preferred.

Qualificações

• Bachelor’s degree or higher in a quantitative field with coursework in databases or data analysis.
• 0–4 years of experience in Data Analysis or related roles; internships accepted.
• Strong SQL and Python skills with pandas proficiency.
• Experience with ML libraries (scikit-learn) and text data handling.
• Excellent English writing and speaking abilities.

Responsabilidades

• Write, optimize, and execute SQL queries to extract data from relational databases and data warehouses.
• Develop and validate ML, predictive, or statistical models to uncover consumer insights.
• Aggregate and transform data to compute metrics like market share and trends.
• Build maintainable data tables and dashboards for stakeholders.
• Translate results into clear summaries for English-speaking teams.

Conhecimentos

SQL

Python

Pandas

Machine learning

English communication

Data visualization

Data cleaning

Pattern matching

SQL optimization

Formação académica

Bachelor's degree in Business Analytics, Statistics, Mathematics, CS, Economics, Marketing

Ferramentas

Snowflake

BigQuery

Redshift

Jupyter/Notebook

Descrição da oferta de emprego

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a 100% remote LATAM role. The candidate will work with large consumer datasets, write SQL queries, and build ML models to derive actionable metrics. Excellent English communication is required to translate technical results for stakeholders.

Open to recent graduates or mid-level analysts with strong quantitative backgrounds. SQL, Python (pandas), and ML libraries are essential, with familiarity in cloud data warehouses preferred.