Remote ML Data Scientist for Market Insights

Launch Potato; Santa Fe Capital; Remote; ARS 92,241,000 - 138,361,000; Full time

Benefits offered by this job

10 days PTO

USA holidays

100% remote

Job summary

Launch Potato, via Prometeo Talent recruitment, seeks a data-focused Machine Learning Analyst for a 100% remote LATAM role. You will translate business questions into data-driven insights using SQL, Python, and ML techniques, collaborating with cross-regional teams.

The ideal candidate brings solid SQL and Python skills, a numbers-driven mindset, and the ability to present clear stakeholder-ready summaries in English. Entry to mid-level candidates welcome.

Qualifications

• Strong SQL and Python skills with data manipulation experience.
• Experience building ML or predictive models and evaluating results.
• Ability to translate results into stakeholder-ready summaries in English.
• Familiarity with messy text data and data cleaning tasks.

Responsibilities

• Write, optimize, and execute SQL queries from relational databases and warehouses.
• Develop and validate ML/predictive models on consumer/retail data.
• Slice and aggregate data to calculate core business metrics.
• Create and maintain data tables and dashboards for stakeholders.
• Audit query outputs and ensure data integrity before insights.
• Segment data for tracking cohorts and analyze unstructured text.
• Translate technical results into clear written summaries for English-speaking stakeholders.

Skills

SQL

Python

Machine Learning

Data Analysis

English communication

Education

Bachelor's in Analytics/Statistics/CS

Tools

Pandas

scikit-learn

Job description

Launch Potato, via Prometeo Talent recruitment, seeks a data-focused Machine Learning Analyst for a 100% remote LATAM role. You will translate business questions into data-driven insights using SQL, Python, and ML techniques, collaborating with cross-regional teams.

The ideal candidate brings solid SQL and Python skills, a numbers-driven mindset, and the ability to present clear stakeholder-ready summaries in English. Entry to mid-level candidates welcome.