Senior ML & Data Analytics Engineer - Remote

Muttdata; Santa Fe Capital; Remote; ARS 64,569,000 - 101,465,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote work

International teams

Job summary

Prometeo Talent partners with a U.S.-based company specializing in marketing effectiveness to hire a Data Analyst (Machine Learning). You will work with large-scale consumer and retail datasets, turning raw transactional data into actionable metrics for stakeholders in English.

Ideal candidates range from recent graduates to mid-level analysts, with strong SQL and Python skills, experience in cleaning and structuring data, and the ability to translate technical results into clear summaries.

Qualifications

• 0–4 years in Data Analysis or similar roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills with JOINs, aggregations, and CASE WHEN.
• Python scripting for data cleaning and transformation using pandas.
• Experience cleaning and parsing text fields.
• Understanding of relational database design and normalization.

Responsibilities

• Write, optimize, and execute SQL queries to extract data from databases and data warehouses.
• Develop and validate ML, predictive, or statistical models to reveal consumer behaviors and trends.
• Aggregate raw data to compute core metrics like market share and purchasing trends.
• Build and maintain clean data tables and dashboards for recurring reports.
• Review outputs and perform data audits to ensure accuracy.
• Translate technical results into clear summaries for English-speaking stakeholders.
• Segment data using conditional logic and prepare structured outputs.

Skills

SQL

Python

Pandas

Advanced English

Data cleaning

ML basics

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

BigQuery

Redshift

scikit-learn

statsmodels

Job description

Prometeo Talent partners with a U.S.-based company specializing in marketing effectiveness to hire a Data Analyst (Machine Learning). You will work with large-scale consumer and retail datasets, turning raw transactional data into actionable metrics for stakeholders in English.

Ideal candidates range from recent graduates to mid-level analysts, with strong SQL and Python skills, experience in cleaning and structuring data, and the ability to translate technical results into clear summaries.