Remote ML Analyst: ML, MLOps & Data Quality

Anyone Ai Inc.; Ciudad de Mendoza; Remote; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. You will work with large-scale consumer and retail data, turning raw data into clear, actionable metrics.

The role emphasizes SQL and Python for data manipulation and model development, with the ability to translate results into concise English summaries for stakeholders. Open to a range of experience levels, from recent grads to mid-level analysts.

Qualifications

• Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, or related field with coursework on database management or quantitative data analysis.
• Advanced English (written and spoken).
• Foundational to intermediate SQL skills with JOINs, aggregations, and CASE WHEN.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from relational databases and cloud data warehouses.
• Develop, run, and validate machine learning, predictive, or statistical models to uncover consumer behaviors and forecast trends.
• Slice and aggregate data to calculate core metrics like household penetration and market share.
• Build and maintain clean data tables and views feeding dashboards and reports.
• Review outputs, audit data, and ensure accuracy before insights are finalized.
• Translate technical results into clear summaries for stakeholders in English.

Skills

SQL

Python

Pandas

English

Data analysis

Data cleaning

Relational databases

Education

Bachelor's degree in related field

Tools

Snowflake

BigQuery

Redshift

scikit-learn

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) to join our client's global team. You will work with large-scale consumer and retail data, turning raw data into clear, actionable metrics.

The role emphasizes SQL and Python for data manipulation and model development, with the ability to translate results into concise English summaries for stakeholders. Open to a range of experience levels, from recent grads to mid-level analysts.