[8BE] Data Scientist (AI, ML)

Role overview

A senior-level Data Scientist position centered on artificial intelligence and machine learning, based in Buenos Aires, Argentina. The role sits within a Data Science & Engineering function in the information technology sector and is intended for an experienced contributor to data-driven and AI/ML initiatives.

Responsibilities

- Design, build, and evaluate machine learning models and AI-driven solutions to address analytical or product needs. - Work with structured and unstructured data, including data cleaning, feature engineering, and preprocessing. - Partner with engineering and product colleagues to deploy, monitor, and maintain models in production environments. - Communicate findings, model behavior, and limitations clearly to both technical and non-technical audiences. - Track developments in machine learning research and apply relevant techniques to ongoing work.

Requirements

- Senior-level experience in data science with a focus on AI and machine learning. - Proficiency with programming languages and machine learning frameworks commonly used in the field. - Solid grounding in statistics, statistical modeling, and experimental design. - Experience working with real-world datasets at scale, including data wrangling and validation. - Ability to translate ambiguous problems into well-defined analytical approaches.

Nice to have

- Familiarity with modern AI/ML tooling, MLOps practices, or production model lifecycle work is generally valued in roles of this type, though specifics are not detailed in the source.