Senior AI Data Scientist (US Team)

What We're Looking For

Required:

• 3+ years of hands-on Data Science or ML Engineering experience
• Demonstrated experience building GenAI applications — RAG systems, LLM-powered pipelines, or agent frameworks in production or near-production settings
• Strong proficiency in classical ML: regression, classification, and model evaluation
• Proficiency in Python; experience with cloud platforms (AWS, GCP, or Azure)
• Fluent in both English and Spanish — you'll work with US clients and collaborate across our LATAM offices.
• Strong communication skills; comfortable presenting to non-technical stakeholders

Projects

About Artefact

Artefact is a next-generation consulting firm specializing in data, analytics, and AI — with 2,000+ employees across 36 offices on five continents, and clients including Samsung, L'Oréal, and Mattel. We launched in the US with offices in NYC and Los Angeles, and we're growing our remote team in Latin America to support US-based client engagements.

The Role

We're looking for a Senior Data Scientist with strong foundations in both classical ML and modern GenAI to join our US practice. You'll work directly with US-based clients and teammates, translating business problems into AI-powered solutions — from production ML models to agentic systems and RAG pipelines. This is a hands-on, client-facing role. You'll be expected to own solutions end-to-end: from scoping and design to deployment and iteration.

What You'll Do

• Design and build agentic AI systems — multi-step reasoning pipelines, tool-use agents, and orchestration frameworks (LangChain, LlamaIndex, or equivalent)
• Develop and deploy RAG architectures over structured and unstructured data sources, including document retrieval, embedding strategies, and LLM integration
• Build and productionize regression, classification, forecasting, and clustering models to drive measurable business outcomes
• Evaluate and improve LLM-based systems using structured evaluation frameworks (LLM-as-a-judge, retrieval quality, hallucination detection)
• Translate ambiguous client challenges into concrete analytical hypotheses and solution designs
• Build scalable data pipelines for ingestion, transformation, and model serving
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders

Why Join Us

• Work on high-impact, real-world AI problems across industries from day one
• Be part of a founding remote team with direct access to US leadership
• Collaborative, technically rigorous culture with a strong knowledge-sharing ethos

Preferred:

• Experience with computer vision (image classification, object detection, or multimodal models)
• Familiarity with vector databases (Pinecone, Weaviate, pgvector, or equivalent)
• Consulting or client-facing experience
• Knowledge of MLOps practices: model monitoring, versioning, CI/CD for ML