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Join the Fintech revolution and build the future of finance in Mexico! Who are we?

We are the leading financial technology company in Mexico, empowering more than 85,000 clients to achieve their dreams. Our mission is to empower the country's small and medium-sized businesses with innovative solutions (financing, credit cards, and payments) to overcome their challenges and turn them into engines of economic growth. We aspire to be the ideal ally of entrepreneurs, contributing to the development of the community, the country, and the planet.

Overview

We are seeking a highly skilled and innovative Data Scientist to lead and contribute to cutting-edge projects, primarily involving Generative AI. The ideal candidate should also have the flexibility and expertise to apply traditional machine learning techniques when required.

Key Responsibilities

- Analyze and interpret complex data from multiple sources, managing both structured and unstructured formats (text, audio, images, video, etc.).

- Design, develop, and deploy generative AI solutions utilizing advanced technologies such as Retrieval-Augmented Generation (RAG), vector databases, and frameworks like LangChain and Hugging Face.

- Leverage Optical Character Recognition (OCR) to convert diverse documents into searchable and editable formats, improving data accessibility.

- Maintain and fine-tune existing AI models to optimize accuracy and performance, resolving any issues that may arise.

- Develop new methodologies and optimize existing ones, pulling necessary data and building statistical and machine learning models to maximize business impact, particularly regarding profitability.

- Solve complex analytical problems using large datasets, applying advanced statistical methods and conducting end-to-end analyses (data gathering, processing, analysis, and deriving actionable insights).

- Present data-driven insights and recommendations to stakeholders at various levels through impactful visualizations and reports that support informed decision-making.

- Lead and contribute to problem-solving efforts with a high degree of autonomy and flexibility.

- Collaborate closely with data engineers, ML engineers, internal teams, and external clients.

- Document methodologies, results, and processes clearly, ensuring reproducibility and knowledge sharing across the team.

- Mentor and guide junior team members, including Data Scientists and ML Engineers.

Experience and Qualifications

- Master’s degree in a quantitative discipline (e.g., Computer Science, AI, Machine Learning, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent practical experience.

- 3+ years of work experience in data analysis, data science, or a related field.

- Proficiency with statistical software (e.g., Python, pandas) and database languages (e.g., SQL).

- Experience with machine learning and data science libraries such as TensorFlow, Keras, PyTorch, and scikit-learn.

- Expertise in Natural Language Processing (NLP), including text representation, semantic extraction techniques, and data modeling.

- Be familiar with architecture design skills, especially with Proprietary and Open-Sourced LLMs (e.g., Llama, ChatGPT, Gemini, Claude).

- Ability to adapt model architectures and apply transfer learning techniques to retrain models for specific domain needs.

Preferred Skills

- Experience integrating AI agents into cross-functional teams to enhance products, services, and internal tools.

- Familiarity with developing autonomous, multi-agent systems with capabilities for communication, learning, and collaboration.

- Hands-on experience with cloud platforms (e.g., AWS) and CI/CD pipelines (e.g., GitLab).

- 3+ years of production-level Python programming experience.

- Applied experience with machine learning on large datasets.

- Intermediate English