Job Summary: We are seeking a Semi-Senior Data Scientist for a strategic DataOps and MLOps project, focused on documentation, standardization, and preparation of analytical models. Key Highlights: 1. Integration into strategic DataOps and MLOps project 2. Collaboration in preparation and deployment of models on the cloud 3. Focus on model reproducibility and versioning We are looking for a **Semi-Senior Data Scientist** with experience in **Python**, to join a strategic project focused on **DataOps and MLOps**. The selected candidate will collaborate on documentation, standardization, and preparation of analytical models for production deployment, ensuring their reproducibility, consistency, and quality across different environments. Responsibilities * Identify, document, and map **data model inputs and outputs**, including sources, formats, and frequency. * Document features, feature engineering processes, and technical dependencies (libraries, versions, configurations). * Support standardization and technical documentation of analytical models. * Collaborate with Machine Learning and MLOps engineers on preparation and deployment of models on the cloud. * Apply data validation methodologies and consistency testing. * Analyze and document result discrepancies across environments, identifying root causes. * Propose technical adjustments to ensure model reproducibility. * Produce clear, reusable, and maintenance-oriented documentation. Mandatory Requirements * Bachelor’s degree in Actuarial Science, Mathematics, Computer Science, Systems Engineering, or related field (degree holder). * **Minimum 3 years of experience** in Data Science-related roles. * Experience working with **Python** and **notebooks (Jupyter)**. * Practical knowledge of preparing models for production. * Good practices in **reproducibility and versioning**. * Knowledge of **SQL (intermediate level)**. * Proficiency in **Git** and Microsoft Office suite. * Language: Spanish. Desirable Requirements * Experience in projects involving **GCP (Vertex AI, BigQuery)** or **AWS (SageMaker)**. * Knowledge of software engineering best practices applied to Data Science. Skills and Competencies * High attention to detail and analytical thinking. * Ability to produce clear and structured documentation. * Customer focus and results orientation. * Autonomy, organization, and ability to manage priorities. * Technical communication skills for collaborative work. * Continuous interest in technological updates and learning. Work Arrangement * **Hybrid** mode, with availability to attend in person in CDMX **twice per week**. Employment Type: Full-time, Project-based or Fixed-term Contract Duration: 12 months Salary: $33,000.00 – $37,000.00 per month Benefits: * Food vouchers Application Question(s): * Are you agreeable to this position being project-based? * What is your gross salary expectation in Mexican pesos? Work Location: Hybrid remote in 03230, Actipan, CDMX