Lead Data Scientist
The Role:
We are seeking a highly skilled and experienced Lead Data Scientist to join our team. The adecuado 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 retrieval
- Expert 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 systems
- Strong grasp of statistics, probability, and the mathematics underpinning modern AI
- Ability to surf and synthesize current AI/ML research, with a track record of applying new methods in production
Benefits:
- Be a part of a global company and build solutions at enterprise scale
- Lead and grow a highly skilled, hands-on technical team (including mentoring junior data scientists)
- Contribute to solving high-complexity, high-impact problems end-to-end
Other Details:
Location: Mexico City, Santa Fe (2-3 days a week onsite)
Equal Opportunity Employer
📌 Buen Sueldo: Chief AI Architect...
🏢 beBeeData
📍 México