Data Scientist: Build Production ML & Causal Insights

Quona Capital; Argentina; On-site; ARS 60,828,000 - 106,449,000; Full time

Job summary

nocnoc is seeking a Data Scientist to join our Data Science team in Argentina. You will build data-driven solutions that scale to support business decisions across our e-commerce platforms and marketplaces.

You will design experiments, develop machine learning models, deploy them to production, and collaborate with Product and Engineering to translate insights into measurable impact. Strong Python and SQL skills are required.

Qualifications

• 3+ years of experience in Data Science.
• Degree in Statistics, Mathematics, Economics, CS, or related quantitative field.
• Strong Python and SQL skills, writing production-ready code.
• Proven track record deploying ML models on structured data.
• Solid knowledge of experimentation and causal inference.
• Familiarity with AWS.

Responsibilities

• Design experiments and apply causal inference to evaluate business opportunities.
• Develop machine learning models that automate business decisions.
• Deploy and monitor models in production, tracking technical and business performance.
• Collaborate with Product, Engineering, and business teams to deliver solutions.
• Communicate insights and recommendations to technical and non-technical audiences.

Skills

Python

SQL

ML modeling

Causal inference

Experimentation

Communication

Education

Degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field

Tools

AWS

Job description

nocnoc is seeking a Data Scientist to join our Data Science team in Argentina. You will build data-driven solutions that scale to support business decisions across our e-commerce platforms and marketplaces.

You will design experiments, develop machine learning models, deploy them to production, and collaborate with Product and Engineering to translate insights into measurable impact. Strong Python and SQL skills are required.