Staff Data Scientist – Production ML & Generative AI

QuintoAndar; EE. UU.; A distancia; USD 120.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Profit sharing

Health, dental, life insurance

Home office allowance

Childcare subsidies

Wellhub & EAP

Descripción de la vacante

QuintoAndar is seeking a staff-level data scientist to join product squads delivering machine-learning powered features for search, recommendations, pricing, credit, and CX systems. The role emphasizes productionizing models and leading data science activities across squads.

The candidate will apply ML fundamentals, work with Python and deep learning, and mentor other data scientists while contributing to innovative generative AI initiatives. Remote-first with flexible office options.

Formación

• 3+ years of experience building ML models in production.
• Strong foundation in regression, classification, clustering, neural nets, feature selection, cross‑validation and explainability.
• Experience leading or mentoring data scientists and communicating results clearly.

Responsabilidades

• Architect, develop, and deploy production ML systems for search, recommendations, pricing, and credit features.
• Design experiments and analyze diverse data (structured/unstructured) to improve models.
• Explore generative AI applications including prompt testing and guardrails for LLM features.
• Collaborate with product squads and contribute to data science chapters and reviews.
• Contribute to pricing, liquidity and customer-experience improvements via data-driven insights.

Conocimientos

Production ML

Python

Deep learning

Technical leadership

English communication

Educación

Master's in ML/DS

Herramientas

PyTorch

Descripción del empleo

QuintoAndar is seeking a staff-level data scientist to join product squads delivering machine-learning powered features for search, recommendations, pricing, credit, and CX systems. The role emphasizes productionizing models and leading data science activities across squads.

The candidate will apply ML fundamentals, work with Python and deep learning, and mentor other data scientists while contributing to innovative generative AI initiatives. Remote-first with flexible office options.