Global Senior Data Scientist - Remote ML & Analytics

Lulo Bank; La Pampa; À distance; ARS 60 582 000 - 90 873 000; Plein temps

Résumé du poste

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a 100% remote LATAM role with a US-based client in marketing effectiveness measurement.

The candidate will leverage SQL and Python to extract, manipulate, and model consumer data, translating results into clear English insights for stakeholders. Open to recent graduates through mid-level analysts, with strong quantitative backgrounds.

Qualifications

• 0–4 years in Data Analysis or similar roles with strong quantitative background.
• Advanced English written and spoken.
• Foundational to intermediate SQL skills and Python for data processing.
• Experience with cleaning, parsing, and pattern matching in text data.
• Bachelor's degree in a related field with database coursework.

Responsabilités

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop and validate machine learning or statistical models to forecast trends.
• Slice and aggregate data to compute core metrics like market share and purchasing trends.
• Build and maintain clean data tables and dashboards for stakeholders.
• Review outputs, perform data audits, and ensure data integrity before insights.
• Segment data using conditional logic and filter techniques.
• Parse and categorize unstructured text data.
• Translate technical results into clear summaries for English-speaking stakeholders.

Connaissances

SQL

Python

Pandas

English

Data cleaning

Data visualization

Formation

Bachelor's degree in Business Analytics or related field

Outils

scikit-learn

statsmodels

Snowflake / BigQuery / Redshift

Description du poste

Prometeo Talent is recruiting a Data Analyst (Machine Learning) for a 100% remote LATAM role with a US-based client in marketing effectiveness measurement.

The candidate will leverage SQL and Python to extract, manipulate, and model consumer data, translating results into clear English insights for stakeholders. Open to recent graduates through mid-level analysts, with strong quantitative backgrounds.