Remote Analytics Lead: Data Science & ML

Startups Bpo; Tandil; Remote; ARS 64,907,000 - 101,997,000; Full time

Benefits offered by this job

10 days PTO

USA Holidays

100% remote work

Job summary

Prometeo Talent is partnering with a U.S.-based company specialized in marketing effectiveness measurement. They seek a Data Analyst (Machine Learning) to join their global team and work with large-scale consumer and retail datasets to turn raw data into clear business insights.

The ideal candidate has solid SQL and Python skills, experience with pandas and ML libraries, and the ability to translate complex results into English summaries for stakeholders.

Qualifications

• 0–4 years of experience in Data Analysis, Business Analytics, or similar roles.
• Advanced English level (written and spoken).
• Foundational to intermediate SQL skills with complex JOIN logic, standard 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 deeper consumer behaviors and forecast trends.
• Slice, unpivot, and aggregate raw transactional or panel data to calculate core business metrics such as household penetration, market share, and purchasing trends.
• Build and maintain clean data tables and views that feed into recurring tracking reports and dashboards.
• Review query outputs, perform data audits, and ensure accuracy and data integrity before insights are finalized.
• Use conditional logic to segment data and isolate tracking cohorts.
• Clean, parse, and categorize unstructured or semi-structured text data.
• Translate technical data structures into clear summaries for stakeholders in English.

Skills

SQL

Python

Pandas

scikit-learn

statsmodels

English

Education

Bachelor's degree

Job description

Prometeo Talent is partnering with a U.S.-based company specialized in marketing effectiveness measurement. They seek a Data Analyst (Machine Learning) to join their global team and work with large-scale consumer and retail datasets to turn raw data into clear business insights.

The ideal candidate has solid SQL and Python skills, experience with pandas and ML libraries, and the ability to translate complex results into English summaries for stakeholders.