Lead Data Scientist
The Role :
We are seeking a highly skilled and experienced Lead Data Scientist to join our team. The ideal candidate will have a strong background in data science, AI, and machine learning, with a proven track record of delivering high-impact projects.
The successful candidate will be responsible for defining AI strategy, mentoring junior data scientists, and driving production-ready AI products and pipelines. They will also partner with business leaders, domain experts, and end-users to gather requirements and align on success metrics.
Key Responsibilities :
- Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
- Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
- Own all stages of the data science project lifecycle, including identification and scoping of high-value data science and AI opportunities, partnering with stakeholders, evaluation, interpretation, and communication of results
Requirements :
Hands-on experience with large language models, prompt engineering, fine-tuning / customization, and embedding-based retrievalExpert proficiency in Python (NumPy, Pandas, SpaCy, scikit-learn, PyTorch / TF 2, Hugging Face Transformers)Deep understanding of ML & Deep Learning models, including architectures for NLP (e.g., transformers), GNNs, and multimodal systemsStrong grasp of statistics, probability, and the mathematics underpinning modern AIAbility to surf and synthesize current AI / ML research, with a track record of applying new methods in productionBenefits :
Be a part of a global company and build solutions at enterprise scaleLead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)Contribute to solving high-complexity, high-impact problems end-to-endOther Details :
Location : Mexico City, Santa Fe (2-3 days a week onsite)
Equal Opportunity Employer