Lead Data Scientist & Tech Lead — Hybrid

Promtior; Buenos Aires; Híbrido; ARS 44.994.000 - 74.991.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

20 paid days off per year

Hybrid work model

Flex Days: monthly team activities

Professional development courses

Internal clubs

Descripción de la vacante

Promtior is seeking a Data Engineer to join our Engineering team in a hybrid setup. You will lead a team of data scientists, shaping technical direction and ensuring production-ready models with robust monitoring and reproducibility.

You will choose appropriate ML approaches, including GenAI, and collaborate with data engineering, product, and stakeholders to deliver measurable business impact. The role emphasizes experimentation design, drift detection, and a strong focus on producing reliable,

Formación

• 6+ years as Data Scientist with team leadership experience.
• Models shipped to production with post-deployment ownership.
• Strong Python and SQL skills across large datasets.

Responsabilidades

• Lead data science team, define technical direction and quality standards.
• Own end-to-end lifecycle from problem framing to deployment and monitoring.
• Design experimentation frameworks (A/B testing, causal inference).
• Define reproducibility, code quality, model documentation, and performance monitoring standards.
• Decide on ML approaches (classical, statistical, or LLM-based) with clear trade-offs.
• Collaborate with data engineering, product, and business stakeholders; mentor the team.

Conocimientos

Team leadership

Python

SQL

Statistical methods

A/B testing

ML lifecycle

LLMs / GenAI

Spark / Databricks

Cloud platforms

Stakeholder communication

Technical standards

Educación

Postgraduate studies in Statistics/Math/CS

Herramientas

MLflow

Feature stores

Model registries

Descripción del empleo

Promtior is seeking a Data Engineer to join our Engineering team in a hybrid setup. You will lead a team of data scientists, shaping technical direction and ensuring production-ready models with robust monitoring and reproducibility.

You will choose appropriate ML approaches, including GenAI, and collaborate with data engineering, product, and stakeholders to deliver measurable business impact. The role emphasizes experimentation design, drift detection, and a strong focus on producing reliable,