Remote ML Data Scientist — Marketing Insights

Lever, Inc.; Tandil; Remote; ARS 92,724,000 - 139,086,000; Full time

Benefits offered by this job

10 days PTO

US holidays

100% remote

Job summary

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a fully remote LATAM role with a U.S. client focused on marketing effectiveness measurement. The job targets analysts who can translate raw data into actionable metrics from large consumer/retail datasets.

The role emphasizes SQL, Python, and ML/predictive modeling, with responsibilities spanning data extraction, modeling, and stakeholder-ready summaries in English. Open to various experience levels.

Qualifications

• 0–4 years of experience in data analysis or analytics.
• Advanced English (written and spoken).
• Solid SQL skills with JOINs, aggregations, and CASE WHEN.
• Python data processing with pandas.
• Experience cleaning and parsing text data and pattern matching.
• Understanding of relational database design and normalization.

Responsibilities

• Write, optimize, and run SQL queries from relational databases and cloud warehouses.
• Develop and validate machine learning or statistical models to forecast trends.
• Slice and aggregate raw data to compute core metrics like market share and trends.
• Build data tables and views feeding dashboards and reports.
• Audit query outputs and ensure data integrity before insights.
• Segment data with conditional logic for tracking cohorts.
• Parse and categorize unstructured text data for analysis.
• Translate results into clear summaries for English-speaking stakeholders.

Skills

SQL

Python

Pandas

English (Advanced)

Text processing

Data analysis

Education

Bachelor's degree in Business Analytics / Statistics / Mathematics / CS / Economics

Tools

Snowflake

BigQuery

Redshift

Job description

Prometeo Talent is seeking a Data Analyst (Machine Learning) for a fully remote LATAM role with a U.S. client focused on marketing effectiveness measurement. The job targets analysts who can translate raw data into actionable metrics from large consumer/retail datasets.

The role emphasizes SQL, Python, and ML/predictive modeling, with responsibilities spanning data extraction, modeling, and stakeholder-ready summaries in English. Open to various experience levels.